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
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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.
- deltamassmass-spectrometry · proteomics · proteomics-data
DeltaMass: view and interrogate open proteomics search data
- 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
- optic-nerve-cnnipynb
Code repository for a paper "Optic Disc and Cup Segmentation Methods for Glaucoma Detection with Modification of U-Net Convolutional Neural Network"
- isobaric-prot-wf-rproteomics · proteomics-data
Simple workflows for the isobaric-labeling proteomic data from Proteome Discoverer with ANOVA, t-testing, DEqMS/limma and annotation via fgsea
- 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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