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Imputation for transcription factor binding predictions based on deep learning
Understanding the cell-specific binding patterns of transcription factors (TFs) is fundamental to studying gene regulatory networks in biological systems, for which ChIP-seq not only provides valuable data but is also considered as the gold standard. Despite tremendous efforts from the scientific co...
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| I publikationen: | PLoS Comput Biol |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5345877/ https://ncbi.nlm.nih.gov/pubmed/28234893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005403 |
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