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Scalable non-negative matrix tri-factorization
BACKGROUND: Matrix factorization is a well established pattern discovery tool that has seen numerous applications in biomedical data analytics, such as gene expression co-clustering, patient stratification, and gene-disease association mining. Matrix factorization learns a latent data model that tak...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746986/ https://www.ncbi.nlm.nih.gov/pubmed/29299064 http://dx.doi.org/10.1186/s13040-017-0160-6 |