Application of Transcriptional Gene Modules to Analysis of Caenorhabditis elegans' Gene Expression Data.
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ABSTRACT: Identification of co-expressed sets of genes (gene modules) is used widely for grouping functionally related genes during transcriptomic data analysis. An organism-wide atlas of high-quality gene modules would provide a powerful tool for unbiased detection of biological signals from gene expression data. Here, using a method based on independent component analysis we call DEXICA, we have defined and optimized 209 modules that broadly represent transcriptional wiring of the key experimental organism C. elegans These modules represent responses to changes in the environment (e.g., starvation, exposure to xenobiotics), genes regulated by transcriptions factors (e.g., ATFS-1, DAF-16), genes specific to tissues (e.g., neurons, muscle), genes that change during develo
SUBMITTER: Cary M
PROVIDER: S-EPMC7534440 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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