MUDAN
importedsoftware/mudan
Multi-sample Unified Discriminant ANalysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- jef.works/MUDAN/
- Repository
- github.com/JEFworks/MUDAN
- Documentation
- unknown
- Tags
- linear-discriminant-analysis · single-cell · subpopulation · transcriptomics · visualization
- 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.
- shortcut-ood-fairnesssubpopulation
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
- TrendCatchersingle-cell · transcriptomics · visualization
TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early…
- ASAPsingle-cell · transcriptomics · visualization
ASAP : Automated Single-cell Analysis Pipeline
- feseRtranscriptomics · visualization
feseR: Combining feature selection methods for analyzing omics data
- alevin-frysingle-cell · transcriptomics
🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
- bambu-pipesingle-cell · transcriptomics
Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu
- api.github.com/repos/JEFworks/MUDANretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-11, 76 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/2.json→ .entries["mudan"]
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