IRS_normalization
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/pwilmart/IRS_normalization
- Documentation
- unknown
- Tags
- ipynb · irs-normalization · jupyter-notebook · mass-spectrometry · normalization · proteomics · proteomics-data · r
- 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.
- 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
- api.github.com/repos/pwilmart/IRS_normalizationretrieved 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 →
/v1/entries/47.json→ .entries["irs-normalization"]
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