Inferring population dynamics from single-cell RNA-sequencing time series data
Inferring population dynamics from single-cell RNA-sequencing time series data
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New York: Nature Publishing Group US
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Language
English
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New York: Nature Publishing Group US
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Contents
Recent single-cell RNA-sequencing studies have suggested that cells follow continuous transcriptomic trajectories in an asynchronous fashion during development. However, observations of cell flux along trajectories are confounded with population size effects in snapshot experiments and are therefore hard to interpret. In particular, changes in prol...
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Full title
Inferring population dynamics from single-cell RNA-sequencing time series data
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7397487
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7397487
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ISSN
1087-0156,1546-1696
E-ISSN
1546-1696
DOI
10.1038/s41587-019-0088-0
