MOVICS: an R package for multi-omics integration and visualization in cancer subtyping

• Published in: Bioinformatics (Oxford, England) Vol. 36; no. 22-23; pp. 5539 - 5541
• Main Authors: Lu, Xiaofan, Meng, Jialin, Zhou, Yujie, Jiang, Liyun, Yan, Fangrong
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.04.2021; Oxford Publishing Limited (England)
• Subjects: Algorithms; Availability; Bioinformatics; Biological analysis; Cancer therapies; Clustering; Precision medicine; Subgroups; Visualization
• ISSN: 1367-4803; 1367-4811; 1367-4811
• DOI: 10.1093/bioinformatics/btaa1018

Abstract Summary Stratification of cancer patients into distinct molecular subgroups based on multi-omics data is an important issue in the context of precision medicine. Here, we present MOVICS, an R package for multi-omics integration and visualization in cancer subtyping. MOVICS provides a unified interface for 10 state-of-the-art multi-omics integrative clustering algorithms, and incorporates the most commonly used downstream analyses in cancer subtyping researches, including characterization and comparison of identified subtypes from multiple perspectives, and verification of subtypes in external cohort using two model-free approaches for multiclass prediction. MOVICS also creates feature rich customizable visualizations with minimal effort. By analysing two published breast cancer cohort, we signifies that MOVICS can serve a wide range of users and assist cancer therapy by moving away from the ‘one-size-fits-all’ approach to patient care. Availability and implementation MOVICS package and online tutorial are freely available at https://github.com/xlucpu/MOVICS. Supplementary information Supplementary data are available at Bioinformatics online.