How Do These Algorithms Integrate Multi-Omics Data?
Cancer is a multi-faceted disease, and its study benefits from integrating various types of data, such as genomics, transcriptomics, proteomics, and metabolomics. Pathway analysis algorithms can accommodate multi-omics data to provide a more comprehensive view of cancer biology. For example, iPathwayGuide integrates gene expression data with mutation and copy number variation data to provide insights into pathway perturbations.
