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TMEA

imported

software/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.

TMEA project image
GitHub preview card for CSBiology/TMEA. 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
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
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.

  • lineagebioinformatics · genes

    tools for analyzing and exploring genetic relationships

  • iDEAgsea

    Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)

  • 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

sources
  1. api.github.com/repos/CSBiology/TMEA
    retrieved 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 →

machine-readable

/v1/entries/20.json→ .entries["tmea"]

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