Cargando…
Single-Cell Expression Variability Implies Cell Function
As single-cell RNA sequencing (scRNA-seq) data becomes widely available, cell-to-cell variability in gene expression, or single-cell expression variability (scEV), has been increasingly appreciated. However, it remains unclear whether this variability is functionally important and, if so, what are i...
Autores principales: | Osorio, Daniel, Yu, Xue, Zhong, Yan, Li, Guanxun, Serpedin, Erchin, Huang, Jianhua Z., Cai, James J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017299/ https://www.ncbi.nlm.nih.gov/pubmed/31861624 http://dx.doi.org/10.3390/cells9010014 |
Ejemplares similares
-
Single-cell RNA sequencing of a European and an African lymphoblastoid cell line
por: Osorio, Daniel, et al.
Publicado: (2019) -
scTenifoldNet: A Machine Learning Workflow for Constructing and Comparing Transcriptome-wide Gene Regulatory Networks from Single-Cell Data
por: Osorio, Daniel, et al.
Publicado: (2020) -
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation
por: Osorio, Daniel, et al.
Publicado: (2022) -
Spectral Preprocessing for Clustering Time-Series Gene Expressions
por: Zhao, Wentao, et al.
Publicado: (2009) -
Identifying Genes Involved in Cyclic Processes by Combining Gene Expression Analysis and Prior Knowledge
por: Zhao, Wentao, et al.
Publicado: (2009)