Unsupervised pattern discovery in human chromatin structure through genomic segmentation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-03-18

AUTHORS

Michael M Hoffman, Orion J Buske, Jie Wang, Zhiping Weng, Jeff A Bilmes, William Stafford Noble

ABSTRACT

Segway, a method using dynamic Bayesian network techniques, segments a genome and produces functional labels defined by histone modifications, transcription-factor binding, locations of open chromatin and other genome-wide functional data.

PAGES

473-476

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1937

DOI

http://dx.doi.org/10.1038/nmeth.1937

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029971202

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22426492


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197 grid-institutes:grid.17063.33 schema:alternateName Present address: Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
198 schema:name Department of Genome Sciences, University of Washington, Seattle, Washington, USA
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201 grid-institutes:grid.34477.33 schema:alternateName Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA
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203 Department of Genome Sciences, University of Washington, Seattle, Washington, USA
204 schema:name Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA
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