TMEA
importedsoftware/tmea
Thermodynamically Motivated Enrichment Analysis (TMEA) is a new approach to gene set enrichment analysis.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- CSBiology
- Country
- unknown
- Homepage
- www.mdpi.com/1099-4300/22/9/1030
- Repository
- github.com/CSBiology/TMEA
- Documentation
- unknown
- Tags
- bioinformatics · biostatistics · deedle · enrichment-score · f-sharp · genes · gsea · plotly
- 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.
- react-plotly.jsbioinformatics · plotly
A plotly.js React component from Plotly 📈
- bagherabioinformatics · biostatistics
Bayesian Gene Heritability Analysis from GWAS summary statistics
- BioFSharpbioinformatics · biostatistics
Open source bioinformatics and computational biology toolbox written in F#. This is the core package containing type models and parsers/writers.
- cdnormbiobioinformatics · biostatistics
R package: Condition-Decomposition Normalization for Biological Applications
- Chai-1bioinformatics · biostatistics
An free and open source community implementation of Chai-1 in PyTorch
- DMRichRbioinformatics · biostatistics
A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine…
- api.github.com/repos/CSBiology/TMEAretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-01-03, 8 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/20.json→ .entries["tmea"]
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