DEEPSEN: a convolutional neural network based method for super-enhancer prediction

DEEPSEN: a convolutional neural network based method for super-enhancer prediction

Abstract Background Super-enhancers (SEs) are clusters of transcriptional active enhancers, which dictate the expression of genes defining cell identity and play an important role in the development and progression of tumors and other diseases. Many key cancer oncogenes are driven by super-enhancers...

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Bibliographic Details
Main Authors: Hongda Bu, Jiaqi Hao, Yanglan Gan, Shuigeng Zhou, Jihong Guan
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Super-enhancer prediction
Deep learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s12859-019-3180-z

Internet

https://doi.org/10.1186/s12859-019-3180-z

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