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RegDiffusion

imported

software/regdiffusion

Diffusion model for gene regulatory network inference.

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

RegDiffusion project image
GitHub preview card for TuftsBCB/RegDiffusion. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
TuftsBCB
Country
unknown
Documentation
unknown
Tags
diffusion-models · gene-regulatory-network · grn · scenic · single-cell
Regulatory
unknown
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.

  • rustscenicgene-regulatory-network · scenic · single-cell

    Faster, lower-memory Rust rewrite of the SCENIC and SCENIC+ analysis stack: GRN, AUCell, cisTarget, topics, peak-to-gene links, and eRegulons.

  • SCANetgrn · single-cell

    SCANet is a python package that incorporates the inference of gene co-expression networks from single-cell gene expression data

  • GRnnDatagene-regulatory-network · single-cell

    Awesome GRN enhanced AnnData toolkit

  • normalisrgene-regulatory-network · single-cell

    Causal inference, differential expression, and co-expression for scRNA-seq

  • pySCENICgene-regulatory-network · single-cell

    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…

  • SCORPIONgene-regulatory-network · single-cell

    Single Cell Oriented Reconstruction of PANDA-based Individually Optimized Networks

sources
  1. api.github.com/repos/TuftsBCB/RegDiffusion
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-19, 30 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/52.json→ .entries["regdiffusion"]

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