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Discovering epistatic feature interactions from neural network models of regulatory DNA sequences
MOTIVATION: Transcription factors bind regulatory DNA sequences in a combinatorial manner to modulate gene expression. Deep neural networks (DNNs) can learn the cis-regulatory grammars encoded in regulatory DNA sequences associated with transcription factor binding and chromatin accessibility. Sever...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6129272/ https://ncbi.nlm.nih.gov/pubmed/30423062 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty575 |
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