SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data

Single cell experiments provide an unprecedented opportunity to reconstruct a sequence of changes in a biological process from individual “snapshots” of cells. However, nonlinear gene expression changes, genes unrelated to the process, and the possibility of branching trajectories make this a challe...

Descripción completa

Detalles Bibliográficos
Autores principales: Welch, Joshua D., Hartemink, Alexander J., Prins, Jan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877799/
https://www.ncbi.nlm.nih.gov/pubmed/27215581
http://dx.doi.org/10.1186/s13059-016-0975-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877799/
https://www.ncbi.nlm.nih.gov/pubmed/27215581
http://dx.doi.org/10.1186/s13059-016-0975-3

Ejemplares similares