SIEVE: identifying robust single cell variable genes for single-cell RNA sequencing data

Single-cell RNA-seq data analysis generally requires quality control, normalization, highly variable genes screening, dimensionality reduction and clustering. Among these processes, downstream analysis including dimensionality reduction and clustering are sensitive to the selection of highly variabl...

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Detalles Bibliográficos
Autores principales: Zhang, Yinan, Xie, Xiaowei, Wu, Peng, Zhu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974938/
https://www.ncbi.nlm.nih.gov/pubmed/35402832
http://dx.doi.org/10.1097/BS9.0000000000000072

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8974938/
https://www.ncbi.nlm.nih.gov/pubmed/35402832
http://dx.doi.org/10.1097/BS9.0000000000000072

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