PRONE
importedsoftware/prone
R Package for preprocessing, normalizing, and analyzing proteomics data
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- daisybio
- Country
- unknown
- Homepage
- daisybio.github.io/PRONE/
- Repository
- github.com/daisybio/PRONE
- Documentation
- unknown
- Tags
- data-analysis · evaluation · normalization · proteomics
- 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.
- IRS_normalizationnormalization · proteomics
An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.
- causal-handbookevaluation
A practical handbook on causal inference methods for evaluating policy interventions and service changes within the NHS, with a focus on leveraging observational real-world data to generate robust…
- frd-scoreevaluation
Official implementation of the Fréchet Radiomic Distance
- philosopherdata-analysis · proteomics
PeptideProphet, PTMProphet, ProteinProphet, iProphet, Abacus, and FDR filtering
- proteopydata-analysis · proteomics
An AnnData-based framework for integrated proteomics analysis
- SQuAPPdata-analysis · proteomics
Shiny App allows streamlined analysis of multiple levels of proteomics data.
- api.github.com/repos/daisybio/PRONEretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-03-12, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/37.json→ .entries["prone"]
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