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@digitalcytometry

digitalcytometry

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  1. ecotyper ecotyper Public

    EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.

    R 228 43

  2. cytospace cytospace Public

    CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data

    Python 138 19

  3. cytotrace2 cytotrace2 Public

    CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.

    R 217 19

Repositories

Showing 4 of 4 repositories
  • spatialecotyper Public

    Deciphering spatial ecotypes from spatial, single-cell, and bulk transcriptomic data

    digitalcytometry/spatialecotyper’s past year of commit activity
    R 1 0 0 0 Updated Jan 21, 2026
  • cytotrace2 Public

    CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.

    digitalcytometry/cytotrace2’s past year of commit activity
    R 217 19 1 0 Updated Dec 26, 2025
  • cytospace Public

    CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data

    digitalcytometry/cytospace’s past year of commit activity
    Python 138 19 9 0 Updated Feb 20, 2025
  • ecotyper Public

    EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.

    digitalcytometry/ecotyper’s past year of commit activity
    R 228 43 13 0 Updated Mar 28, 2024

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R Python

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