SC3: consensus clustering of single-cell RNA-seq data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-05

AUTHORS

Vladimir Yu Kiselev, Kristina Kirschner, Michael T Schaub, Tallulah Andrews, Andrew Yiu, Tamir Chandra, Kedar N Natarajan, Wolf Reik, Mauricio Barahona, Anthony R Green, Martin Hemberg

ABSTRACT

Single-cell RNA-seq enables the quantitative characterization of cell types based on global transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly tool for unsupervised clustering, which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach (http://bioconductor.org/packages/SC3). We demonstrate that SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients. More... »

PAGES

483-486

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.4236

DOI

http://dx.doi.org/10.1038/nmeth.4236

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084129325

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28346451


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Datasets as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Profiling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hematopoietic Stem Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "High-Throughput Nucleotide Sequencing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sequence Analysis, RNA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Single-Cell Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Support Vector Machine", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kiselev", 
        "givenName": "Vladimir Yu", 
        "id": "sg:person.07357340013.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07357340013.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "Cambridge Institute for Medical Research, Wellcome Trust/MRC Stem Cell Institute and Department of Haematology, University of Cambridge, Hills Road, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kirschner", 
        "givenName": "Kristina", 
        "id": "sg:person.0640523627.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640523627.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 Catholique de Louvain", 
          "id": "https://www.grid.ac/institutes/grid.7942.8", 
          "name": [
            "Department of Mathematics and naXys, University of Namur, Namur, Belgium.", 
            "ICTEAM, Universit\u00e9 Catholique de Louvain, Louvain-la-Neuve, Belgium."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schaub", 
        "givenName": "Michael T", 
        "id": "sg:person.01320545314.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320545314.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andrews", 
        "givenName": "Tallulah", 
        "id": "sg:person.01042211024.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042211024.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yiu", 
        "givenName": "Andrew", 
        "id": "sg:person.012474675141.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012474675141.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Babraham Institute", 
          "id": "https://www.grid.ac/institutes/grid.418195.0", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.", 
            "Epigenetics Programme, The Babraham Institute, Babraham, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chandra", 
        "givenName": "Tamir", 
        "id": "sg:person.01077423452.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077423452.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Bioinformatics Institute", 
          "id": "https://www.grid.ac/institutes/grid.225360.0", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.", 
            "EMBL-European Bioinformatics Institute, Hinxton, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Natarajan", 
        "givenName": "Kedar N", 
        "id": "sg:person.01341727415.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341727415.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.", 
            "Epigenetics Programme, The Babraham Institute, Babraham, Cambridge, UK.", 
            "Centre for Trophoblast Research, University of Cambridge, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reik", 
        "givenName": "Wolf", 
        "id": "sg:person.01003236610.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003236610.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Department of Mathematics, Imperial College London, London, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barahona", 
        "givenName": "Mauricio", 
        "id": "sg:person.01367710045.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367710045.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Cambridge", 
          "id": "https://www.grid.ac/institutes/grid.5335.0", 
          "name": [
            "Cambridge Institute for Medical Research, Wellcome Trust/MRC Stem Cell Institute and Department of Haematology, University of Cambridge, Hills Road, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Green", 
        "givenName": "Anthony R", 
        "id": "sg:person.010260517612.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010260517612.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wellcome Sanger Institute", 
          "id": "https://www.grid.ac/institutes/grid.10306.34", 
          "name": [
            "Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hemberg", 
        "givenName": "Martin", 
        "id": "sg:person.0777452173.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777452173.73"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1084/jem.183.6.2551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001412648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.2967", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001987369", 
          "https://doi.org/10.1038/nbt.2967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2016.01.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003174491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2015.10.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003175514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2015.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006029874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.2931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008162673", 
          "https://doi.org/10.1038/nbt.2931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012425816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-014-0550-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015222646", 
          "https://doi.org/10.1186/s13059-014-0550-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-014-0550-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015222646", 
          "https://doi.org/10.1186/s13059-014-0550-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkv007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016098431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-016-1010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016125119", 
          "https://doi.org/10.1186/s13059-016-1010-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-016-1010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016125119", 
          "https://doi.org/10.1186/s13059-016-1010-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.immuni.2012.03.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016756836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2014.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017950805", 
          "https://doi.org/10.1038/nprot.2014.006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2004-5-10-r80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018457673", 
          "https://doi.org/10.1186/gb-2004-5-10-r80"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2010.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018728907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1412098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020696842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12859-016-0984-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021431679", 
          "https://doi.org/10.1186/s12859-016-0984-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01908075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022323983", 
          "https://doi.org/10.1007/bf01908075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023511895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1312542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027094691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/wics.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028044167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0020190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029170965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.stem.2015.09.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029349367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2015.04.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029937786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1004575", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030060313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn.3881", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030443217", 
          "https://doi.org/10.1038/nn.3881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.177725.114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033981600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1245316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035294760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1247651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037007803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-0427(87)90125-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041584630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2014.08.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041908806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042638061", 
          "https://doi.org/10.1038/nature13173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042720804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btv088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044113679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature14966", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044817288", 
          "https://doi.org/10.1038/nature14966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2014.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045886011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1254257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046815039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02100489", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048441675", 
          "https://doi.org/10.1007/bf02100489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02100489", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048441675", 
          "https://doi.org/10.1007/bf02100489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nsmb.2660", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050140072", 
          "https://doi.org/10.1038/nsmb.2660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aaa1934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051709523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btw777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059415140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1198/004017004000000563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064197587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/026385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085105286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/026385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085105286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/026385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085105286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1.9781611972887.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088800821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2346830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101982469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2346830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101982469"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-05", 
    "datePublishedReg": "2017-05-01", 
    "description": "Single-cell RNA-seq enables the quantitative characterization of cell types based on global transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly tool for unsupervised clustering, which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach (http://bioconductor.org/packages/SC3). We demonstrate that SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nmeth.4236", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2776185", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4576273", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3637515", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7550926", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4578854", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3498582", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7551289", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1033763", 
        "issn": [
          "1548-7091", 
          "1548-7105"
        ], 
        "name": "Nature Methods", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "SC3: consensus clustering of single-cell RNA-seq data", 
    "pagination": "483-486", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f10a0afb3b75607d1eaa35727b9c8be1aab67de54e018af4068de85cc7f78fc4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28346451"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101215604"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nmeth.4236"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084129325"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nmeth.4236", 
      "https://app.dimensions.ai/details/publication/pub.1084129325"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:22", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87088_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/articles/nmeth.4236"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nmeth.4236'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmeth.4236'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.4236'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.4236'


 

This table displays all metadata directly associated to this object as RDF triples.

355 TRIPLES      21 PREDICATES      82 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nmeth.4236 schema:about N05843fa3bc6742878b546ebdec8aa090
2 N05cdd76550584c978bb6406392fdc223
3 N21575d94147b458e9ec494abe191b7e0
4 N2626e5fa6bda47c7b0800c388acf583c
5 N5672450f7b8a4e6a877fbc9e610ee819
6 N5872a0ad436c4abf8e3059bd65ed46b5
7 N771d1433175944f09efc85ee0a5dd407
8 N7c255cbd03804d65b62bd3a01cc7296d
9 Nf5850cd12a804398afb1e6f13aa35333
10 anzsrc-for:06
11 anzsrc-for:0601
12 schema:author N33b1835e75144156a2419c85c95bed5b
13 schema:citation sg:pub.10.1007/bf01908075
14 sg:pub.10.1007/bf02100489
15 sg:pub.10.1038/nature13173
16 sg:pub.10.1038/nature14966
17 sg:pub.10.1038/nbt.2931
18 sg:pub.10.1038/nbt.2967
19 sg:pub.10.1038/nn.3881
20 sg:pub.10.1038/nprot.2014.006
21 sg:pub.10.1038/nsmb.2660
22 sg:pub.10.1186/gb-2004-5-10-r80
23 sg:pub.10.1186/s12859-016-0984-y
24 sg:pub.10.1186/s13059-014-0550-8
25 sg:pub.10.1186/s13059-016-1010-4
26 https://doi.org/10.1002/wics.61
27 https://doi.org/10.1016/0377-0427(87)90125-7
28 https://doi.org/10.1016/j.cell.2015.04.044
29 https://doi.org/10.1016/j.cell.2015.05.002
30 https://doi.org/10.1016/j.cell.2016.01.047
31 https://doi.org/10.1016/j.celrep.2014.04.011
32 https://doi.org/10.1016/j.celrep.2014.08.029
33 https://doi.org/10.1016/j.devcel.2010.02.012
34 https://doi.org/10.1016/j.devcel.2015.10.011
35 https://doi.org/10.1016/j.immuni.2012.03.017
36 https://doi.org/10.1016/j.stem.2015.09.011
37 https://doi.org/10.1056/nejmoa1312542
38 https://doi.org/10.1056/nejmoa1412098
39 https://doi.org/10.1084/jem.183.6.2551
40 https://doi.org/10.1093/bioinformatics/btp120
41 https://doi.org/10.1093/bioinformatics/btu170
42 https://doi.org/10.1093/bioinformatics/btv088
43 https://doi.org/10.1093/bioinformatics/btw777
44 https://doi.org/10.1093/nar/gkv007
45 https://doi.org/10.1093/nar/gkw199
46 https://doi.org/10.1101/026385
47 https://doi.org/10.1101/gr.177725.114
48 https://doi.org/10.1126/science.1245316
49 https://doi.org/10.1126/science.1247651
50 https://doi.org/10.1126/science.1254257
51 https://doi.org/10.1126/science.aaa1934
52 https://doi.org/10.1137/1.9781611972887.11
53 https://doi.org/10.1198/004017004000000563
54 https://doi.org/10.1371/journal.pcbi.1004575
55 https://doi.org/10.1371/journal.pgen.0020190
56 https://doi.org/10.2307/2346830
57 schema:datePublished 2017-05
58 schema:datePublishedReg 2017-05-01
59 schema:description Single-cell RNA-seq enables the quantitative characterization of cell types based on global transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly tool for unsupervised clustering, which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach (http://bioconductor.org/packages/SC3). We demonstrate that SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients.
60 schema:genre research_article
61 schema:inLanguage en
62 schema:isAccessibleForFree true
63 schema:isPartOf N2e8f76209ba1460284bf9e0857fee69c
64 Nebd8f9f7514d4098a45e7f75b36a3ab9
65 sg:journal.1033763
66 schema:name SC3: consensus clustering of single-cell RNA-seq data
67 schema:pagination 483-486
68 schema:productId N9ffe9f23b08d4d35bcca85cfde7631f8
69 Nac80ce0320414ba1864fc654db09fe43
70 Nbea591f625d54fb2b41a9007ff6184b3
71 Nbfd1df76d53b493f90ce138f9d734bc4
72 Nd0d95fee97f243e4b7d64da548c9e8b8
73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084129325
74 https://doi.org/10.1038/nmeth.4236
75 schema:sdDatePublished 2019-04-11T12:22
76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
77 schema:sdPublisher N282e4049e02e4286b133fbe58207ba57
78 schema:url http://www.nature.com/articles/nmeth.4236
79 sgo:license sg:explorer/license/
80 sgo:sdDataset articles
81 rdf:type schema:ScholarlyArticle
82 N05843fa3bc6742878b546ebdec8aa090 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name High-Throughput Nucleotide Sequencing
84 rdf:type schema:DefinedTerm
85 N05cdd76550584c978bb6406392fdc223 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Sequence Analysis, RNA
87 rdf:type schema:DefinedTerm
88 N21575d94147b458e9ec494abe191b7e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Datasets as Topic
90 rdf:type schema:DefinedTerm
91 N2626e5fa6bda47c7b0800c388acf583c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Humans
93 rdf:type schema:DefinedTerm
94 N282e4049e02e4286b133fbe58207ba57 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 N289101a5fff148268e135af0a4409d31 rdf:first sg:person.01042211024.21
97 rdf:rest N32f5c195ef234626860e440ba665ddf9
98 N2e8f76209ba1460284bf9e0857fee69c schema:volumeNumber 14
99 rdf:type schema:PublicationVolume
100 N32f5c195ef234626860e440ba665ddf9 rdf:first sg:person.012474675141.77
101 rdf:rest Ne91091da73f5424cacd478724bc1a5b8
102 N33b1835e75144156a2419c85c95bed5b rdf:first sg:person.07357340013.35
103 rdf:rest Nf7098edec5a341a38189cdb88901c68b
104 N3e375135fec240548fafe9752cf015ec rdf:first sg:person.01367710045.15
105 rdf:rest Nbf3d9fb236cd45b385e9de2ddda18ba6
106 N52a842db15f74ac4a254198516987cd4 rdf:first sg:person.01341727415.33
107 rdf:rest N53c60f20b98b423e9781d3b3fb237f02
108 N53c60f20b98b423e9781d3b3fb237f02 rdf:first sg:person.01003236610.53
109 rdf:rest N3e375135fec240548fafe9752cf015ec
110 N5672450f7b8a4e6a877fbc9e610ee819 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Support Vector Machine
112 rdf:type schema:DefinedTerm
113 N5872a0ad436c4abf8e3059bd65ed46b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Hematopoietic Stem Cells
115 rdf:type schema:DefinedTerm
116 N771d1433175944f09efc85ee0a5dd407 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Cluster Analysis
118 rdf:type schema:DefinedTerm
119 N7c255cbd03804d65b62bd3a01cc7296d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Single-Cell Analysis
121 rdf:type schema:DefinedTerm
122 N9cfc4a700be24667b6aba32daf30ee1e rdf:first sg:person.0777452173.73
123 rdf:rest rdf:nil
124 N9ffe9f23b08d4d35bcca85cfde7631f8 schema:name pubmed_id
125 schema:value 28346451
126 rdf:type schema:PropertyValue
127 Nac80ce0320414ba1864fc654db09fe43 schema:name doi
128 schema:value 10.1038/nmeth.4236
129 rdf:type schema:PropertyValue
130 Nb8297467919748bdbd7a06b22a768980 rdf:first sg:person.01320545314.66
131 rdf:rest N289101a5fff148268e135af0a4409d31
132 Nbea591f625d54fb2b41a9007ff6184b3 schema:name nlm_unique_id
133 schema:value 101215604
134 rdf:type schema:PropertyValue
135 Nbf3d9fb236cd45b385e9de2ddda18ba6 rdf:first sg:person.010260517612.95
136 rdf:rest N9cfc4a700be24667b6aba32daf30ee1e
137 Nbfd1df76d53b493f90ce138f9d734bc4 schema:name dimensions_id
138 schema:value pub.1084129325
139 rdf:type schema:PropertyValue
140 Nd0d95fee97f243e4b7d64da548c9e8b8 schema:name readcube_id
141 schema:value f10a0afb3b75607d1eaa35727b9c8be1aab67de54e018af4068de85cc7f78fc4
142 rdf:type schema:PropertyValue
143 Ne91091da73f5424cacd478724bc1a5b8 rdf:first sg:person.01077423452.56
144 rdf:rest N52a842db15f74ac4a254198516987cd4
145 Nebd8f9f7514d4098a45e7f75b36a3ab9 schema:issueNumber 5
146 rdf:type schema:PublicationIssue
147 Nf5850cd12a804398afb1e6f13aa35333 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Gene Expression Profiling
149 rdf:type schema:DefinedTerm
150 Nf7098edec5a341a38189cdb88901c68b rdf:first sg:person.0640523627.91
151 rdf:rest Nb8297467919748bdbd7a06b22a768980
152 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
153 schema:name Biological Sciences
154 rdf:type schema:DefinedTerm
155 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
156 schema:name Biochemistry and Cell Biology
157 rdf:type schema:DefinedTerm
158 sg:grant.2776185 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
159 rdf:type schema:MonetaryGrant
160 sg:grant.3498582 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
161 rdf:type schema:MonetaryGrant
162 sg:grant.3637515 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
163 rdf:type schema:MonetaryGrant
164 sg:grant.4576273 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
165 rdf:type schema:MonetaryGrant
166 sg:grant.4578854 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
167 rdf:type schema:MonetaryGrant
168 sg:grant.7550926 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
169 rdf:type schema:MonetaryGrant
170 sg:grant.7551289 http://pending.schema.org/fundedItem sg:pub.10.1038/nmeth.4236
171 rdf:type schema:MonetaryGrant
172 sg:journal.1033763 schema:issn 1548-7091
173 1548-7105
174 schema:name Nature Methods
175 rdf:type schema:Periodical
176 sg:person.01003236610.53 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
177 schema:familyName Reik
178 schema:givenName Wolf
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003236610.53
180 rdf:type schema:Person
181 sg:person.010260517612.95 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
182 schema:familyName Green
183 schema:givenName Anthony R
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010260517612.95
185 rdf:type schema:Person
186 sg:person.01042211024.21 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
187 schema:familyName Andrews
188 schema:givenName Tallulah
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01042211024.21
190 rdf:type schema:Person
191 sg:person.01077423452.56 schema:affiliation https://www.grid.ac/institutes/grid.418195.0
192 schema:familyName Chandra
193 schema:givenName Tamir
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077423452.56
195 rdf:type schema:Person
196 sg:person.012474675141.77 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
197 schema:familyName Yiu
198 schema:givenName Andrew
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012474675141.77
200 rdf:type schema:Person
201 sg:person.01320545314.66 schema:affiliation https://www.grid.ac/institutes/grid.7942.8
202 schema:familyName Schaub
203 schema:givenName Michael T
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320545314.66
205 rdf:type schema:Person
206 sg:person.01341727415.33 schema:affiliation https://www.grid.ac/institutes/grid.225360.0
207 schema:familyName Natarajan
208 schema:givenName Kedar N
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341727415.33
210 rdf:type schema:Person
211 sg:person.01367710045.15 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
212 schema:familyName Barahona
213 schema:givenName Mauricio
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367710045.15
215 rdf:type schema:Person
216 sg:person.0640523627.91 schema:affiliation https://www.grid.ac/institutes/grid.5335.0
217 schema:familyName Kirschner
218 schema:givenName Kristina
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0640523627.91
220 rdf:type schema:Person
221 sg:person.07357340013.35 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
222 schema:familyName Kiselev
223 schema:givenName Vladimir Yu
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07357340013.35
225 rdf:type schema:Person
226 sg:person.0777452173.73 schema:affiliation https://www.grid.ac/institutes/grid.10306.34
227 schema:familyName Hemberg
228 schema:givenName Martin
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777452173.73
230 rdf:type schema:Person
231 sg:pub.10.1007/bf01908075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022323983
232 https://doi.org/10.1007/bf01908075
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/bf02100489 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048441675
235 https://doi.org/10.1007/bf02100489
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/nature13173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042638061
238 https://doi.org/10.1038/nature13173
239 rdf:type schema:CreativeWork
240 sg:pub.10.1038/nature14966 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044817288
241 https://doi.org/10.1038/nature14966
242 rdf:type schema:CreativeWork
243 sg:pub.10.1038/nbt.2931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008162673
244 https://doi.org/10.1038/nbt.2931
245 rdf:type schema:CreativeWork
246 sg:pub.10.1038/nbt.2967 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001987369
247 https://doi.org/10.1038/nbt.2967
248 rdf:type schema:CreativeWork
249 sg:pub.10.1038/nn.3881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030443217
250 https://doi.org/10.1038/nn.3881
251 rdf:type schema:CreativeWork
252 sg:pub.10.1038/nprot.2014.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017950805
253 https://doi.org/10.1038/nprot.2014.006
254 rdf:type schema:CreativeWork
255 sg:pub.10.1038/nsmb.2660 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050140072
256 https://doi.org/10.1038/nsmb.2660
257 rdf:type schema:CreativeWork
258 sg:pub.10.1186/gb-2004-5-10-r80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018457673
259 https://doi.org/10.1186/gb-2004-5-10-r80
260 rdf:type schema:CreativeWork
261 sg:pub.10.1186/s12859-016-0984-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1021431679
262 https://doi.org/10.1186/s12859-016-0984-y
263 rdf:type schema:CreativeWork
264 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
265 https://doi.org/10.1186/s13059-014-0550-8
266 rdf:type schema:CreativeWork
267 sg:pub.10.1186/s13059-016-1010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016125119
268 https://doi.org/10.1186/s13059-016-1010-4
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1002/wics.61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028044167
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/0377-0427(87)90125-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041584630
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/j.cell.2015.04.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029937786
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/j.cell.2015.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006029874
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/j.cell.2016.01.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003174491
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/j.celrep.2014.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045886011
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1016/j.celrep.2014.08.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041908806
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/j.devcel.2010.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018728907
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/j.devcel.2015.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003175514
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1016/j.immuni.2012.03.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016756836
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1016/j.stem.2015.09.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029349367
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1056/nejmoa1312542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027094691
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1056/nejmoa1412098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020696842
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1084/jem.183.6.2551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001412648
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1093/bioinformatics/btp120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012425816
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1093/bioinformatics/btu170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042720804
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1093/bioinformatics/btv088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044113679
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1093/bioinformatics/btw777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059415140
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1093/nar/gkv007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016098431
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1093/nar/gkw199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023511895
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1101/026385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085105286
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1101/gr.177725.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033981600
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1126/science.1245316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035294760
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1126/science.1247651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037007803
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1126/science.1254257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046815039
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1126/science.aaa1934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051709523
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1137/1.9781611972887.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088800821
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1198/004017004000000563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064197587
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1371/journal.pcbi.1004575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030060313
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1371/journal.pgen.0020190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029170965
329 rdf:type schema:CreativeWork
330 https://doi.org/10.2307/2346830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101982469
331 rdf:type schema:CreativeWork
332 https://www.grid.ac/institutes/grid.10306.34 schema:alternateName Wellcome Sanger Institute
333 schema:name Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
334 rdf:type schema:Organization
335 https://www.grid.ac/institutes/grid.225360.0 schema:alternateName European Bioinformatics Institute
336 schema:name EMBL-European Bioinformatics Institute, Hinxton, Cambridge, UK.
337 Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
338 rdf:type schema:Organization
339 https://www.grid.ac/institutes/grid.418195.0 schema:alternateName Babraham Institute
340 schema:name Epigenetics Programme, The Babraham Institute, Babraham, Cambridge, UK.
341 Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
342 rdf:type schema:Organization
343 https://www.grid.ac/institutes/grid.5335.0 schema:alternateName University of Cambridge
344 schema:name Cambridge Institute for Medical Research, Wellcome Trust/MRC Stem Cell Institute and Department of Haematology, University of Cambridge, Hills Road, Cambridge, UK.
345 Centre for Trophoblast Research, University of Cambridge, Cambridge, UK.
346 Epigenetics Programme, The Babraham Institute, Babraham, Cambridge, UK.
347 Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK.
348 rdf:type schema:Organization
349 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
350 schema:name Department of Mathematics, Imperial College London, London, UK.
351 rdf:type schema:Organization
352 https://www.grid.ac/institutes/grid.7942.8 schema:alternateName Université Catholique de Louvain
353 schema:name Department of Mathematics and naXys, University of Namur, Namur, Belgium.
354 ICTEAM, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
355 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...