Scalable non-negative matrix tri-factorization
Abstract 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...
Main Authors: | Andrej Čopar, Marinka žitnik, Blaž Zupan |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-12-01
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Series: | BioData Mining |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13040-017-0160-6 |
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