D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference

D-GPM: A Deep Learning Method for Gene Promoter Methylation Inference

Whole-genome bisulfite sequencing generates a comprehensive profiling of the gene methylation levels, but is limited by a high cost. Recent studies have partitioned the genes into landmark genes and target genes and suggested that the landmark gene expression levels capture adequate information to r...

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Bibliographic Details
Main Authors: Xingxin Pan, Biao Liu, Xingzhao Wen, Yulu Liu, Xiuqing Zhang, Shengbin Li, Shuaicheng Li
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Genes
Subjects:
promoter methylation
deep neural network
machine learning
landmark genes
target genes
Online Access:https://www.mdpi.com/2073-4425/10/10/807

Internet

https://www.mdpi.com/2073-4425/10/10/807

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