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ABSTRACT: Background
High-throughput transcriptomics measures mRNA levels for thousands of genes in a biological sample. Most gene expression studies aim to identify genes that are differentially expressed between different biological conditions, such as between healthy and diseased states. However, these data can also be used to identify genes that are co-expressed within a biological condition. Gene co-expression is used in a guilt-by-association approach to prioritize candidate genes that could be involved in disease, and to gain insights into the functions of genes, protein relations, and signaling pathways. Most existing gene co-expression databases are generic, amalgamating data for a given organism regardless of tissue-type.Methods
To study muscle-specific gene co-expression i
SUBMITTER: Malatras A
PROVIDER: S-EPMC7216615 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature