scCellFie
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- www.sccellfie.org
- Repository
- github.com/earmingol/scCellFie
- Documentation
- unknown
- Tags
- metabolic-modeling · metabolic-pathways · metabolism · single-cell · single-cell-transcriptomics · spatial-transcriptomics · systems-biology
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- metaGEMmetabolic-modeling · metabolism · systems-biology
:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
- SCMeTAmetabolism · single-cell
A python library for single-cell metabolism data analysis.
- Metaboversemetabolism
Visualization and analysis platform for metabolic data and network pattern recognition
- 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)
- api.github.com/repos/earmingol/scCellFieretrieved 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 →
/v1/entries/57.json→ .entries["sccellfie"]
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