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MUDAN

imported

software/mudan

Multi-sample Unified Discriminant ANalysis

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
linear-discriminant-analysis · single-cell · subpopulation · transcriptomics · visualization
Regulatory
unknown
built by · 4

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.

  • 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.

  • DRVIsingle-cell · transcriptomics

    Unsupervised Deep Disentangled Representation of Single-Cell Omics

  • Pandosingle-cell · transcriptomics

    Multiome GRN inference.

  • PertEvalsingle-cell · transcriptomics

    Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.

  • pySCENICsingle-cell · transcriptomics

    pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene…

sources
  1. api.github.com/repos/JEFworks/MUDAN
    retrieved 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 →

machine-readable

/v1/entries/2.json→ .entries["mudan"]

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