Inferring gene regulatory networks from single-cell data: a mechanistic approach

BACKGROUND: The recent development of single-cell transcriptomics has enabled gene expression to be measured in individual cells instead of being population-averaged. Despite this considerable precision improvement, inferring regulatory networks remains challenging because stochasticity now proves t...

Descripción completa

Detalles Bibliográficos
Autores principales: Herbach, Ulysse, Bonnaffoux, Arnaud, Espinasse, Thibault, Gandrillon, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697158/
https://www.ncbi.nlm.nih.gov/pubmed/29157246
http://dx.doi.org/10.1186/s12918-017-0487-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697158/
https://www.ncbi.nlm.nih.gov/pubmed/29157246
http://dx.doi.org/10.1186/s12918-017-0487-0

Ejemplares similares