Integrating and mining the chromatin landscape of cell-type specificity using self-organizing maps

Integrating and mining the chromatin landscape of cell-type specificity using self-organizing maps

We tested whether self-organizing maps (SOMs) could be used to effectively integrate, visualize, and mine diverse genomics data types, including complex chromatin signatures. A fine-grained SOM was trained on 72 ChIP-seq histone modifications and DNase-seq data sets from six biologically diverse cel...

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Bibliographic Details
Main Authors: Kellis, Manolis, Mortazavi, Ali, Pepke, Shirley, Jansen, Camden, Marinov, Georgi K., Ernst, Jason, Hardison, Ross C., Myers, Richard M., Wold, Barbara J.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Cold Spring Harbor Laboratory Press 2014
Online Access:http://hdl.handle.net/1721.1/85672

Internet

http://hdl.handle.net/1721.1/85672

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