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UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data
Factor analysis, ranging from principal component analysis to nonnegative matrix factorization, represents a foremost approach in analyzing multi-dimensional data to extract valuable patterns, and is increasingly being applied in the context of multi-dimensional omics datasets represented in tensor...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516365/ https://www.ncbi.nlm.nih.gov/pubmed/37478378 http://dx.doi.org/10.1093/bib/bbad253 |