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promor

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software/promor

A comprehensive R package for label-free proteomics data analysis and modeling

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

promor project image
GitHub preview card for caranathunge/promor. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
LGPL-2.1(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
biomarkers · differential-expression · lfq · machine-learning · mass-spectrometry · modeling · proteomics · r
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.

  • alphaquantlfq · mass-spectrometry · proteomics

    An open-source Python package for accurate and sensitive peptide and protein quantification.

  • quantmslfq · mass-spectrometry · proteomics

    Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

  • An_ProtAIDe-Dxbiomarkers · proteomics

    Proteomicis and AI for Dementia Diagnosis

  • DAtestdifferential-expression · proteomics

    Compare different differential abundance and expression methods

  • multiDEGGsdifferential-expression · proteomics

    An R package to perform differential network analysis in single and multi-omic data. It can also be used for feature selection in ML.

  • pylimmadifferential-expression · proteomics

    Python port of R limma for differential expression analysis

sources
  1. api.github.com/repos/caranathunge/promor
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-05-07, 16 stars, license reported as LGPL-2.1. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/54.json→ .entries["promor"]

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