iscGPS

The software tool 'iscGPS' (Single Cell Global fate Potential of Subpopulations) designed to address a key challenge in developmental biology and single-cell data analysis: determining the relatedness of cells in a differentiation lineage. Traditional approaches to analyzing single-cell data focus on identifying cell states and their clustering but often lack a seamless pipeline for estimating the transition probabilities between these cell clusters. iscGPS aims to fill this gap by providing a comprehensive analysis tool that identifies cell clusters and estimates the likelihood of transitions between them, thereby offering insights into the developmental lineage and fate potential of different cell subpopulations.

Topic

Machine learning;Cell biology;Developmental biology;Workflows;Gene expression

Detail

  • Operation: Simulation analysis;Clustering;Dimensionality reduction;Principal component visualisation

  • Software interface: Library

  • Language: R,C++

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: 1.5.1

  • Credit: National Health and Medical Research Council, the Australian Research Council DECRA Fellowship.

  • Input: -

  • Output: -

  • Contact: Quan Nguyen quan.nguyen@uq.edu.au

  • Collection: -

  • Maturity: -

Publications

  • scGPS: Determining Cell States and Global Fate Potential of Subpopulations.
  • Thompson M, et al. scGPS: Determining Cell States and Global Fate Potential of Subpopulations. scGPS: Determining Cell States and Global Fate Potential of Subpopulations. 2021; 12:666771. doi: 10.3389/fgene.2021.666771
  • https://doi.org/10.3389/FGENE.2021.666771
  • PMID: 34349778
  • PMC: PMC8326972

Download and documentation


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