CellBRF: a feature selection method for single-cell clustering using cell balance and random forest

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) offers a powerful tool to dissect the complexity of biological tissues through cell sub-population identification in combination with clustering approaches. Feature selection is a critical step for improving the accuracy and interpretability of sing...

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Detalles Bibliográficos
Autores principales: Xu, Yunpei, Li, Hong-Dong, Lin, Cui-Xiang, Zheng, Ruiqing, Li, Yaohang, Xu, Jinhui, Wang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Regulatory and Functional Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311305/
https://www.ncbi.nlm.nih.gov/pubmed/37387178
http://dx.doi.org/10.1093/bioinformatics/btad216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311305/
https://www.ncbi.nlm.nih.gov/pubmed/37387178
http://dx.doi.org/10.1093/bioinformatics/btad216

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