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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...
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Published in: | BioData Min |
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Main Authors: | , , |
Format: | Artigo |
Language: | Inglês |
Published: |
BioMed Central
2017
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Subjects: | |
Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5746986/ https://ncbi.nlm.nih.gov/pubmed/29299064 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-017-0160-6 |
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