Ranking genomic features using an information-theoretic measure of epigenetic discordance.

Garrett JenkinsonJordi AbanteMichael A KoldobskiyAndrew P FeinbergJohn Goutsias

Published in: BMC bioinformatics (2019)

The proposed approach provides the first computational tool for statistically testing and ranking genomic features of interest based on observed DNA methylation discordance in comparative studies that accounts, in a rigorous manner, for biological, statistical, and technical variability in methylation data, as well as for variability in feature length and for missing data.

Keyphrases

dna methylation
copy number
genome wide
electronic health record
gene expression
big data
machine learning
deep learning
healthcare
social media