Identify differential genes and cell subclusters from time-series scRNA-seq data using scTITANS

Time-series single-cell RNA sequencing (scRNA-seq) provides a breakthrough in modern biology by enabling researchers to profile and study the dynamics of genes and cells based on samples obtained from multiple time points at an individual cell resolution. However, cell asynchrony and an additional d...

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Detalles Bibliográficos
Autores principales: Shao, Li, Xue, Rui, Lu, Xiaoyan, Liao, Jie, Shao, Xin, Fan, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342909/
https://www.ncbi.nlm.nih.gov/pubmed/34527187
http://dx.doi.org/10.1016/j.csbj.2021.07.016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342909/
https://www.ncbi.nlm.nih.gov/pubmed/34527187
http://dx.doi.org/10.1016/j.csbj.2021.07.016

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