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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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Bibliographic Details
Published in:BioData Min
Main Authors: Čopar, Andrej, žitnik, Marinka, Zupan, Blaž
Format: Artigo
Language:Inglês
Published: BioMed Central 2017
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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