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COSG

imported

software/cosg

Accurate and fast cell marker gene identification with COSG

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

record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
marker-genes · piaso · single-cell · single-cell-analysis · single-cell-atac-seq · single-cell-multiomics · single-cell-rna-seq · spatial-transcriptomics
Regulatory
unknown
built by · 2

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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.

  • SLATsingle-cell · single-cell-analysis · spatial-transcriptomics

    Spatial-Linked Alignment Tool

  • Wilson_Muto_NComm_2022single-cell-atac-seq · single-cell-rna-seq

    Containerized workflow for analysis of human diabetic kidney disease by snRNA-seq and snATAC-seq

  • randomlysingle-cell · single-cell-analysis · single-cell-rna-seq

    A Library for Denoising Single-Cell Data with Random Matrix Theory

  • too-many-cellssingle-cell · single-cell-analysis · single-cell-rna-seq

    Cluster single cells and analyze cell clade relationships with colorful visualizations.

  • scCATCHmarker-genes · single-cell

    Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

  • GLUEsingle-cell · single-cell-multiomics

    Graph-linked unified embedding for single-cell multi-omics data integration

sources
  1. api.github.com/repos/genecell/COSG
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-03-07, 60 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/33.json→ .entries["cosg"]

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