Co-expression networks reveal the tissue-specific regulation of transcription and splicing Academic Article uri icon

abstract

  • Abstract Gene co-expression networks capture biologically important patterns in gene expression data, enabling functional analyses of genes, discovery of biomarkers, and interpretation of genetic variants. Most network analyses to date have been limited to assessing correlation between total gene expression levels in a single tissue or small sets of tissues. Here, we built networks that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a …

authors

publication date

  • November 1, 2017