JMnorm: a novel joint multi-feature normalization method for integrative and comparative epigenomics.

ABSTRACT: Combinatorial patterns of epigenetic features reflect transcriptional states and functions of genomic regions. While many epigenetic features have correlated relationships, most existing data normalization approaches analyze each feature independently. Such strategies may distort relationships between functionally correlated epigenetic features and hinder biological interpretation. We present a novel approach named JMnorm that simultaneously normalizes multiple epigenetic features across cell types, species, and experimental conditions by leveraging information from partially correlated epigenetic features. We demonstrate that JMnorm-normalized data can better preserve cross-epigenetic-feature correlations across different cell types and enhance consistency between biological replicates th

SUBMITTER: Xiang G 

PROVIDER: S-EPMC10810286 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature