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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...
Gorde:
| Argitaratua izan da: | Genome Biol |
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| Egile Nagusiak: | , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4877799/ https://ncbi.nlm.nih.gov/pubmed/27215581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-016-0975-3 |
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