A Systematic Evaluation of Supervised Machine Learning Algorithms for Cell Phenotype Classification Using Single-Cell RNA Sequencing Data

The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular compositions of complex tissues. In recent years, vast numbers of scRNA-seq datasets have been generated and made publicly available, and thi...

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Detalles Bibliográficos
Autores principales: Cao, Xiaowen, Xing, Li, Majd, Elham, He, Hua, Gu, Junhua, Zhang, Xuekui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905542/
https://www.ncbi.nlm.nih.gov/pubmed/35281805
http://dx.doi.org/10.3389/fgene.2022.836798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8905542/
https://www.ncbi.nlm.nih.gov/pubmed/35281805
http://dx.doi.org/10.3389/fgene.2022.836798

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