טוען...
Unsupervised trajectory analysis of single-cell RNA-seq and imaging data reveals alternate tuft cell origins in the gut
Modern single-cell technologies allow multiplexed sampling of cellular states within a tissue. However, computational tools that can infer developmental cell-state transitions reproducibly from such single-cell data are lacking. Here, we introduce p-Creode, an unsupervised algorithm that produces mu...
שמור ב:
| הוצא לאור ב: | Cell Syst |
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| Main Authors: | , , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5799016/ https://ncbi.nlm.nih.gov/pubmed/29153838 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cels.2017.10.012 |
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