Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks

Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks

Enhancer-promoter interactions (EPIs) are crucial for transcriptional regulation. Mapping such interactions proves useful for understanding disease regulations and discovering risk genes in genome-wide association studies. Some previous studies showed that machine learning methods, as computational...

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Bibliographic Details
Main Authors: Mengli Xiao, Zhong Zhuang, Wei Pan
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Genes
Subjects:
boosting
convolutional neural networks
deep learning
feed-forward neural networks
machine learning
Online Access:https://www.mdpi.com/2073-4425/11/1/41

Internet

https://www.mdpi.com/2073-4425/11/1/41

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