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scTDA

scTDA

scTDA (single-cell topological data analysis) is a Python library for the analysis of single-cell RNA-seq data. The scTDA algorithm uses an unsupervised statistical structure to characterize cellular states. It is non-linear and model-independent.

Topic

RNA-seq; Gene expression

Details

  • Operation: RNA-Seq analysis
  • Software interface: Library
  • Language: Python
  • Operating system: Microsoft Windows, Mac OS X, Linux
  • License: GNU General Public License v3
  • Cost: Free
  • Version name: -
  • Maturity: Stable
  • Credit: The National Institutes of Health (NIH), ALS Therapy Alliance.
  • Contact: Thomas J. Roberts tm2472 _at_ columbia.edu | Raul Rabadan rr2579 _at_ cumc.columbia.edu
  • Collection: -

Publications

Rizvi AH, Camara PG, Kandror EK, Roberts TJ, Schieren I, Maniatis T, Rabadan R "Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development." Nat Biotechnol. 2017 Jun;35(6):551-560. https://doi.org/10.1038/nbt.3854
PMID: 28459448
PMCID: PMC5569300


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