Your browser doesn't support javascript.
loading
MOSS: multi-omic integration with sparse value decomposition.
Gonzalez-Reymundez, Agustin; Grueneberg, Alexander; Lu, Guanqi; Alves, Filipe Couto; Rincon, Gonzalo; Vazquez, Ana I.
Afiliación
  • Gonzalez-Reymundez A; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
  • Grueneberg A; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
  • Lu G; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
  • Alves FC; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
  • Rincon G; Genus PLC Inc., Genome Sciences R&D, De Forest, WI 53532, USA.
  • Vazquez AI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA.
Bioinformatics ; 38(10): 2956-2958, 2022 05 13.
Article en En | MEDLINE | ID: mdl-35561193
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos