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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Detalles Bibliográficos
Autores principales: Kim, Seong Gon, Harwani, Mrudul, Grama, Ananth, Chaterji, Somali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144062/
https://www.ncbi.nlm.nih.gov/pubmed/27929098
http://dx.doi.org/10.1038/srep38433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144062/
https://www.ncbi.nlm.nih.gov/pubmed/27929098
http://dx.doi.org/10.1038/srep38433

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