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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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Profiling intermediate cell states in high resolution.

Adam L MacLean1

  • 1Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.

Cell Reports Methods
|May 2, 2022
PubMed
Summary
This summary is machine-generated.

Capybara is a new computational method for analyzing single-cell gene expression data. This tool identifies intermediate cell states and transitions, aiding biologists in understanding cell development and fate.

Area of Science:

  • Computational biology
  • Molecular biology
  • Genomics

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