Keith A Baggerly


Ontology type: schema:Person     


Person Info

NAME

Keith A

SURNAME

Baggerly

Publications in SciGraph latest 50 shown

  • 2018-12 FABP4 as a key determinant of metastatic potential of ovarian cancer in NATURE COMMUNICATIONS
  • 2018-04 Dissecting Pathway Disturbances Using Network Topology and Multi-platform Genomics Data in STATISTICS IN BIOSCIENCES
  • 2017-12 Immune cell profiling in cancer: molecular approaches to cell-specific identification in NPJ PRECISION ONCOLOGY
  • 2017-12 Surface PD-L1, E-cadherin, CD24, and VEGFR2 as markers of epithelial cancer stem cells associated with rapid tumorigenesis in SCIENTIFIC REPORTS
  • 2017-12 Aurora Kinase A is a Biomarker for Bladder Cancer Detection and Contributes to its Aggressive Behavior in SCIENTIFIC REPORTS
  • 2016-04-04 A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer in NATURE COMMUNICATIONS
  • 2015-09 Intratumoral morphologic and molecular heterogeneity of rhabdoid renal cell carcinoma: challenges for personalized therapy in MODERN PATHOLOGY
  • 2013-12 Tumour angiogenesis regulation by the miR-200 family in NATURE COMMUNICATIONS
  • 2013-12 Comparison of molecular subtype distribution in triple-negative inflammatory and non-inflammatory breast cancers in BREAST CANCER RESEARCH
  • 2013-04 Metabolic Shifts Induced by Fatty Acid Synthase Inhibitor Orlistat in Non-small Cell Lung Carcinoma Cells Provide Novel Pharmacodynamic Biomarkers for Positron Emission Tomography and Magnetic Resonance Spectroscopy in MOLECULAR IMAGING AND BIOLOGY
  • 2012-12 Protein and phosphoprotein levels in glioma and adenocarcinoma cell lines grown in normoxia and hypoxia in monolayer and three-dimensional cultures in PROTEOME SCIENCE
  • 2011-07 Population frequency of myotonic dystrophy: higher than expected frequency of myotonic dystrophy type 2 (DM2) mutation in Finland in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2011-03 Evidence of a role for the novel zinc-finger transcription factor ZKSCAN3 in modulating Cyclin D2 expression in multiple myeloma in ONCOGENE
  • 2010-10 Tackling the widespread and critical impact of batch effects in high-throughput data in NATURE REVIEWS GENETICS
  • 2010-09 Disclose all data in publications in NATURE
  • 2010-06 Clinical evaluation of chemotherapy response predictors developed from breast cancer cell lines in BREAST CANCER RESEARCH AND TREATMENT
  • 2010-04 Differences in aberrant expression and splicing of sarcomeric proteins in the myotonic dystrophies DM1 and DM2 in ACTA NEUROPATHOLOGICA
  • 2010-03-13 Statistical Contributions to Proteomic Research in THE URINARY PROTEOME
  • 2008-12 Global analysis of aberrant pre-mRNA splicing in glioblastoma using exon expression arrays in BMC GENOMICS
  • 2008-07 Understanding the development of human bladder cancer by using a whole-organ genomic mapping strategy in LABORATORY INVESTIGATION
  • 2007-11 Microarrays: retracing steps in NATURE MEDICINE
  • 2007 Pre-Processing Mass Spectrometry Data in FUNDAMENTALS OF DATA MINING IN GENOMICS AND PROTEOMICS
  • 2006 Studentizing Microarray Data in COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS
  • 2006 Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification in COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS
  • 2005-12 Gene expression signature of estrogen receptor α status in breast cancer in BMC GENOMICS
  • 2005-05 High-resolution whole-organ mapping with SNPs and its significance to early events of carcinogenesis in LABORATORY INVESTIGATION
  • 2005-04 Alterations in transcription clusters underlie development of bladder cancer along papillary and nonpapillary pathways in LABORATORY INVESTIGATION
  • 2005-03 Serum proteomics profiling—a young technology begins to mature in NATURE BIOTECHNOLOGY
  • 2005 Pooling Information Across Different Studies and Oligonucleotide Chip Types to Identify Prognostic Genes for Lung Cancer in METHODS OF MICROARRAY DATA ANALYSIS
  • 2004-12 Overdispersed logistic regression for SAGE: Modelling multiple groups and covariates in BMC BIOINFORMATICS
  • 2004-10 Transcriptomic changes in human breast cancer progression as determined by serial analysis of gene expression in BREAST CANCER RESEARCH
  • 2004-06 Response to Preprocessing of oligonucleotide array data in NATURE BIOTECHNOLOGY
  • 2004-02 Erratum to: Transcriptomic changes in human breast cancer progression as determined by serial analysis of gene expression in BREAST CANCER RESEARCH
  • 2003 Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification in COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS
  • 2003 Studentizing Microarray Data in COMPUTATIONAL AND STATISTICAL APPROACHES TO GENOMICS
  • 2002-12 Obtaining reliable information from minute amounts of RNA using cDNA microarrays in BMC GENOMICS
  • 2002-02 Steps toward mapping the human vasculature by phage display in NATURE MEDICINE
  • 2002 Biology-driven Clustering of Microarray Data in METHODS OF MICROARRAY DATA ANALYSIS II
  • 2001-11 Sources of nonlinearity in cDNA microarray expression measurements in GENOME BIOLOGY
  • 2001-04 Modeling significance and reproducibility on high-density cDNA microarrays in NATURE GENETICS
  • 2001-04 Identifying and quantifying sources of variation in high-density cDNA microarray data using 33P-labeled probes in NATURE GENETICS
  • 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", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.240145.6", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.267308.8", 
            "type": "Organization"
          }
        ], 
        "familyName": "Baggerly", 
        "givenName": "Keith A", 
        "id": "sg:person.0731747000.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731747000.61"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T15:14", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_911.json", 
        "type": "Person"
      }
    ]
     

    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/person.0731747000.61'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.0731747000.61'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.0731747000.61'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.0731747000.61'


     




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


    ...