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IRS_normalization

imported

software/irs-normalization

An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ipynb · irs-normalization · jupyter-notebook · mass-spectrometry · normalization · proteomics · proteomics-data · r
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.

  • TMT_analysis_examplesipynb · jupyter-notebook · mass-spectrometry · proteomics · proteomics-data

    Examples of TMT data analyses using R. Links to notebooks and repositories. Also a few spectral counting analyses.

  • pmultiqcmass-spectrometry · proteomics · proteomics-data

    A library for QC report based on MultiQC framework

  • ursgalmass-spectrometry · proteomics · proteomics-data

    Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis

  • MSConnectproteomics · proteomics-data

    MSConnect is a Web-based integrated plateform to combine data storage/backup, process and visualization of MS-based Proteomics data.

  • nanoSPLITSproteomics · proteomics-data

    Github repository for nanoSPLITS manuscript data and R scripts

  • PRONEnormalization · proteomics

    R Package for preprocessing, normalizing, and analyzing proteomics data

sources
  1. api.github.com/repos/pwilmart/IRS_normalization
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2019-08-06, 17 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/47.json→ .entries["irs-normalization"]

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