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

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 unifie...

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Vydáno v:Bioinformatics (Oxford, England) Ročník 36; číslo 22-23; s. 5539 - 5541
Hlavní autoři: Lu, Xiaofan, Meng, Jialin, Zhou, Yujie, Jiang, Liyun, Yan, Fangrong
Médium: Journal Article
Jazyk:angličtina
Vydáno: England Oxford University Press 01.04.2021
Oxford Publishing Limited (England)
Témata:
Algorithms
Availability
Bioinformatics
Biological analysis
Cancer therapies
Clustering
Precision medicine
Subgroups
Visualization
ISSN:1367-4803, 1367-4811, 1367-4811
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Shrnutí: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.
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ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btaa1018