Accurate prediction of functional states of cis-regulatory modules reveals common epigenetic rules in humans and mice.

Published in: BMC biology (2022)

Our two-step approach can accurately predict functional states in any cell/tissue type of all the CRMs in the genome using data of only 1~4 epigenetic marks. Our approach is also more cost-effective than existing methods that typically use data of more epigenetic marks. Our results suggest common epigenetic rules for defining functional states of CRMs in various cell/tissue types in humans and mice.

Keyphrases

dna methylation
gene expression
single cell
cell therapy
electronic health record
high fat diet induced
big data
genome wide
high resolution
stem cells
machine learning
mass spectrometry
artificial intelligence
data analysis
deep learning
wild type
insulin resistance