Signature Overrepresentation Analysis
Function to randomly select genes associated with randomly pathways.
List genes involved in present GPS for a specific pathway in the summa...
Highlight the relevant genes for a specific pathway in its pathway dia...
load and return data when lazyLoad false insted of using data(datastr)
Create your own Signature Object.
Traditional Overrepresentation Analysis.
sigora: Signature Overrepresentation Analysis
Sigora's main function.
Pathway Analysis is statistically linking observations on the molecular level to biological processes or pathways on the systems(i.e., organism, organ, tissue, cell) level. Traditionally, pathway analysis methods regard pathways as collections of single genes and treat all genes in a pathway as equally informative. However, this can lead to identifying spurious pathways as statistically significant since components are often shared amongst pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene pairs that are (as a combination) specific to a single pathway. In relying on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses the status of other genes in the experimental context to identify the most relevant pathways. The current version allows for pathway analysis of human and mouse datasets. In addition, it contains pre-computed Pathway-GPS data for pathways in the KEGG and Reactome pathway repositories and mechanisms for extracting GPS for user-supplied repositories.