openmedical/registry
← registry

scCellFie

imported

software/sccellfie

scCellFie infers metabolic activities from single-cell and spatial transcriptomics and offers a variety of downstream analyses.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
metabolic-modeling · metabolic-pathways · metabolism · single-cell · single-cell-transcriptomics · spatial-transcriptomics · systems-biology
Regulatory
unknown
built by · 1

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.

  • Metaboversemetabolism

    Visualization and analysis platform for metabolic data and network pattern recognition

  • COSGsingle-cell · spatial-transcriptomics

    Accurate and fast cell marker gene identification with COSG

  • MERINGUEsingle-cell · spatial-transcriptomics

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

  • OmicsClawsingle-cell · spatial-transcriptomics

    Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper.

  • SLATsingle-cell · spatial-transcriptomics

    Spatial-Linked Alignment Tool

  • SpaTalksingle-cell · spatial-transcriptomics

    Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data

sources
  1. api.github.com/repos/earmingol/scCellFie
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 62 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/57.json→ .entries["sccellfie"]

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