GECSI: Large-scale chromatin state imputation from gene expression.

ABSTRACT: Compendiums of chromatin state annotations based on integrating maps of multiple epigenetic marks such as from ChromHMM have become a powerful resource. While these compendiums have coverage of many biological samples, there are many additional biological samples that have gene expression data but lack epigenetic mark data and chromatin state annotations. The EpiAtlas resource of the International Human Epigenome Consortium (IHEC) contains a large compendium of chromatin state annotations for which many samples have matched gene expression data, which provides the opportunity to use it to train models to predict chromatin state annotations in additional biological samples with only gene expression data available. To address this, we develop Gene Expression-based Chromatin State Imputation

SUBMITTER: Fu J 

PROVIDER: S-EPMC12621776 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature