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MOSS: multi-omic integration with sparse value decomposition.

Authors :
Gonzalez-Reymundez A
Grueneberg A
Lu G
Alves FC
Rincon G
Vazquez AI
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2022 May 13; Vol. 38 (10), pp. 2956-2958.
Publication Year :
2022

Abstract

Summary: This article presents multi-omic integration with sparse value decomposition (MOSS), a free and open-source R package for integration and feature selection in multiple large omics datasets. This package is computationally efficient and offers biological insight through capabilities, such as cluster analysis and identification of informative omic features.<br />Availability and Implementation: https://CRAN.R-project.org/package=MOSS.<br />Supplementary Information: Supplementary information can be found at https://github.com/agugonrey/GonzalezReymundez2021.<br /> (© The Author(s) 2022. Published by Oxford University Press.)

Subjects

Subjects :
Cluster Analysis
Software

Details

Language :
English
ISSN :
1367-4811
Volume :
38
Issue :
10
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
35561193
Full Text :
https://doi.org/10.1093/bioinformatics/btac179