Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data.

CONCLUSION: Proposed sparse mCIA achieves simultaneous model estimation and feature selection and yields analysis results that are more interpretable than the existing mCIA. Furthermore, proposed structured sparse mCIA can effectively incorporate prior network information among genes, resulting in improved feature selection and enhanced interpretability. PMID: 32293260 [PubMed - as supplied by publisher]
Source: Genomics Proteomics ... - Category: Genetics & Stem Cells Authors: Tags: BMC Bioinformatics Source Type: research