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REVISE

imported

software/revise

REVISE is a Python toolkit for reconstruct and analyse spatial transcriptomics (ST) data at single-cell resolution across diverse ST platforms.

Machine-generated from the listed sources and not yet reviewed by a human.

REVISE project image
GitHub preview card for wuys13/REVISE. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ot · single-cell · spatial-transcriptomics
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • bambu-pipesingle-cell · spatial-transcriptomics

    Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu

  • COSGsingle-cell · spatial-transcriptomics

    Accurate and fast cell marker gene identification with COSG

  • ENIGMAsingle-cell · spatial-transcriptomics

    A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)

  • LARISsingle-cell · spatial-transcriptomics

    LARIS enables accurate and efficient ligand and receptor interaction analysis in spatial transcriptomics

  • MERINGUEsingle-cell · spatial-transcriptomics

    characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities

  • NGSOmics_Programmingsingle-cell · spatial-transcriptomics

    Computational biology/bioinformatics workflows, codes, tech & concept notes on NGS data

sources
  1. api.github.com/repos/wuys13/REVISE
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-25, 25 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/9.json→ .entries["revise"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.