IModEst: disentangling -omic impacts on gene expression variation across genes and tissues.

ABSTRACT: Many regulatory factors impact the expression of individual genes including, but not limited, to microRNA, long non-coding RNA (lncRNA), transcription factors (TFs), cis-methylation, copy number variation (CNV), and single-nucleotide polymorphisms (SNPs). While each mechanism can influence gene expression substantially, the relative importance of each mechanism at the level of individual genes and tissues is poorly understood. Here, we present the integrative Models of Estimated gene expression (iModEst), which details the relative contribution of different regulators to the gene expression of 16,000 genes and 21 tissues within The Cancer Genome Atlas (TCGA). Specifically, we derive predictive models of gene expression using tumour data and test their predictive accuracy in cancerou

SUBMITTER: Sokolowski DJ 

PROVIDER: S-EPMC11879402 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature