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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....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| 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 |