PIntMF: Penalized Integrative Matrix Factorization method for multi-omics data

MOTIVATION: It is more and more common to perform multi-omics analyses to explore the genome at diverse levels and not only at a single level. Through integrative statistical methods, multi-omics data have the power to reveal new biological processes, potential biomarkers and subgroups in a cohort....

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Detalles Bibliográficos
Autores principales: Pierre-Jean, Morgane, Mauger, Florence, Deleuze, Jean-François, Le Floch, Edith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796362/
https://www.ncbi.nlm.nih.gov/pubmed/34849583
http://dx.doi.org/10.1093/bioinformatics/btab786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796362/
https://www.ncbi.nlm.nih.gov/pubmed/34849583
http://dx.doi.org/10.1093/bioinformatics/btab786

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