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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,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Materias: | |
| 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 |