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...
Main Authors: | Kellis, Manolis (Contributor), Mortazavi, Ali (Author), Pepke, Shirley (Author), Jansen, Camden (Author), Marinov, Georgi K. (Author), Ernst, Jason (Author), Hardison, Ross C. (Author), Myers, Richard M. (Author), Wold, Barbara J. (Author) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Cold Spring Harbor Laboratory Press,
2014-03-17T14:47:28Z.
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Subjects: | |
Online Access: | Get fulltext |
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