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Optimization and expansion of non-negative matrix factorization
BACKGROUND: Non-negative matrix factorization (NMF) is a technique widely used in various fields, including artificial intelligence (AI), signal processing and bioinformatics. However existing algorithms and R packages cannot be applied to large matrices due to their slow convergence or to matrices...
Autores principales: | Lin, Xihui, Boutros, Paul C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945623/ https://www.ncbi.nlm.nih.gov/pubmed/31906867 http://dx.doi.org/10.1186/s12859-019-3312-5 |
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