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...

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Detalles Bibliográficos
Autores principales: Lin, Xihui, Boutros, Paul C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
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

Internet

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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