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CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures

BACKGROUND: Bayesian factorization methods, including Coordinated Gene Activity in Pattern Sets (CoGAPS), are emerging as powerful analysis tools for single cell data. However, these methods have greater computational costs than their gradient-based counterparts. These costs are often prohibitive fo...

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Detalles Bibliográficos
Autores principales: Sherman, Thomas D., Gao, Tiger, Fertig, Elana J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556974/
https://www.ncbi.nlm.nih.gov/pubmed/33054706
http://dx.doi.org/10.1186/s12859-020-03796-9