Dimensionality reduction for single cell RNA sequencing data using constrained robust non-negative matrix factorization

Single cell RNA-sequencing (scRNA-seq) technology, a powerful tool for analyzing the entire transcriptome at single cell level, is receiving increasing research attention. The presence of dropouts is an important characteristic of scRNA-seq data that may affect the performance of downstream analyses...

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Detalles Bibliográficos
Autores principales: Zhang, Shuqin, Yang, Liu, Yang, Jinwen, Lin, Zhixiang, Ng, Michael K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671375/
https://www.ncbi.nlm.nih.gov/pubmed/33575614
http://dx.doi.org/10.1093/nargab/lqaa064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671375/
https://www.ncbi.nlm.nih.gov/pubmed/33575614
http://dx.doi.org/10.1093/nargab/lqaa064

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