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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,...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Jin, Suoqin, MacLean, Adam L, Peng, Tao, Nie, Qing
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6658715/
https://ncbi.nlm.nih.gov/pubmed/29415263
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty058
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