TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
Built on probabilistic diffusion models rather than VAE or ensemble approaches, RegDiffusion performs unsupervised GRN inference in under 5 minutes on 15,000+ genes—40x faster than comparable methods. It supports sparse matrices and memory-efficient GPU modes (reducing peak memory by ~45%), enabling analysis of large single-cell RNA-seq datasets on consumer hardware, and integrates with the SCENIC pipeline for downstream regulatory analysis.
Available on PyPI.
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28
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5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 21, 2026
Monthly downloads
362
Commits (30d)
0
Dependencies
8
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