MethylNet: an automated and modular deep learning approach for DNA methylation analysis

MethylNet: an automated and modular deep learning approach for DNA methylation analysis

Abstract Background DNA methylation (DNAm) is an epigenetic regulator of gene expression programs that can be altered by environmental exposures, aging, and in pathogenesis. Traditional analyses that associate DNAm alterations with phenotypes suffer from multiple hypothesis testing and multi-colline...

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Bibliographic Details
Main Authors: Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Bioinformatics
Subjects:
Deep learning
DNA methylation
High performance computing
Workflow automation
Unsupervised
Supervised
Online Access:http://link.springer.com/article/10.1186/s12859-020-3443-8

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http://link.springer.com/article/10.1186/s12859-020-3443-8

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