A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications

Recent advances in next-generation sequencing and computational technologies have enabled routine analysis of large-scale single-cell ribonucleic acid sequencing (scRNA-seq) data. However, scRNA-seq technologies have suffered from several technical challenges, including low mean expression levels in...

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Detalles Bibliográficos
Autores principales: Peng, He, Zeng, Xiangxiang, Zhou, Yadi, Zhang, Defu, Nussinov, Ruth, Cheng, Feixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396937/
https://www.ncbi.nlm.nih.gov/pubmed/30779739
http://dx.doi.org/10.1371/journal.pcbi.1006772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396937/
https://www.ncbi.nlm.nih.gov/pubmed/30779739
http://dx.doi.org/10.1371/journal.pcbi.1006772

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