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: | , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Cold Spring Harbor Laboratory Press
2014
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| Online Access: | http://hdl.handle.net/1721.1/85672 |