DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data

Feature selection (marker gene selection) is widely believed to improve clustering accuracy, and is thus a key component of single cell clustering pipelines. Existing feature selection methods perform inconsistently across datasets, occasionally even resulting in poorer clustering accuracy than with...

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Detalles Bibliográficos
Autores principales: Ranjan, Bobby, Sun, Wenjie, Park, Jinyu, Mishra, Kunal, Schmidt, Florian, Xie, Ronald, Alipour, Fatemeh, Singhal, Vipul, Joanito, Ignasius, Honardoost, Mohammad Amin, Yong, Jacy Mei Yun, Koh, Ee Tzun, Leong, Khai Pang, Rayan, Nirmala Arul, Lim, Michelle Gek Liang, Prabhakar, Shyam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494900/
https://www.ncbi.nlm.nih.gov/pubmed/34615861
http://dx.doi.org/10.1038/s41467-021-26085-2

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