scEpath: energy landscape-based inference of transition probabilities and cellular trajectories from single-cell transcriptomic data

MOTIVATION: Single-cell RNA-sequencing (scRNA-seq) offers unprecedented resolution for studying cellular decision-making processes. Robust inference of cell state transition paths and probabilities is an important yet challenging step in the analysis of these data. RESULTS: Here we present scEpath,...

Descripción completa

Detalles Bibliográficos
Autores principales: Jin, Suoqin, MacLean, Adam L, Peng, Tao, Nie, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658715/
https://www.ncbi.nlm.nih.gov/pubmed/29415263
http://dx.doi.org/10.1093/bioinformatics/bty058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658715/
https://www.ncbi.nlm.nih.gov/pubmed/29415263
http://dx.doi.org/10.1093/bioinformatics/bty058

Ejemplares similares