MOSS: multi-omic integration with sparse value decomposition

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...

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Detalles Bibliográficos
Autores principales: Gonzalez-Reymundez, Agustin, Grueneberg, Alexander, Lu, Guanqi, Alves, Filipe Couto, Rincon, Gonzalo, Vazquez, Ana I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113319/
https://www.ncbi.nlm.nih.gov/pubmed/35561193
http://dx.doi.org/10.1093/bioinformatics/btac179
Descripción
Sumario: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. AVAILABILITY AND IMPLEMENTATION: https://CRAN.R-project.org/package=MOSS. SUPPLEMENTARY INFORMATION: Supplementary information can be found at https://github.com/agugonrey/GonzalezReymundez2021.

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