Intrinsic entropy model for feature selection of scRNA-seq data

Recent advances of single-cell RNA sequencing (scRNA-seq) technologies have led to extensive study of cellular heterogeneity and cell-to-cell variation. However, the high frequency of dropout events and noise in scRNA-seq data confounds the accuracy of the downstream analysis, i.e. clustering analys...

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Detalles Bibliográficos
Autores principales: Li, Lin, Tang, Hui, Xia, Rui, Dai, Hao, Liu, Rui, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175189/
https://www.ncbi.nlm.nih.gov/pubmed/35102420
http://dx.doi.org/10.1093/jmcb/mjac008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175189/
https://www.ncbi.nlm.nih.gov/pubmed/35102420
http://dx.doi.org/10.1093/jmcb/mjac008

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