Identifying single-cell molecular programs by stochastic profiling
Identifying single-cell molecular programs by stochastic profiling
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New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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By stochastically sampling cells in groups of ten, the authors identify transcriptional programs with strong cell-to-cell expression differences thus allowing them to study endogenous heterogeneities in single cells.
Cells in tissues can be morphologically indistinguishable yet show molecular expression patterns that are remarkably heterogeneous...
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Full title
Identifying single-cell molecular programs by stochastic profiling
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2849806
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2849806
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.1442
