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EP-DNN: A Deep Neural Network-Based Global Enhancer Prediction Algorithm
We present EP-DNN, a protocol for predicting enhancers based on chromatin features, in different cell types. Specifically, we use a deep neural network (DNN)-based architecture to extract enhancer signatures in a representative human embryonic stem cell type (H1) and a differentiated lung cell type...
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| Pubblicato in: | Sci Rep |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5144062/ https://ncbi.nlm.nih.gov/pubmed/27929098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep38433 |
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