← Single-cell & foundation models
GLUE
Graph-linked variational autoencoders that integrate unpaired single-cell multi-omics data and infer regulatory interactions.
| Category | Single-cell & foundation models |
|---|---|
| GitHub | gao-lab/GLUE |
| First public | 2021-08-22 (source) |
| Paper | https://doi.org/10.1038/s41587-022-01284-4 · Nature Biotechnology (2022) |
| License | MIT |
| Pricing | Open source |
| Tags | #bioinformatics#deep-learning#single-cell |
| Last checked | 2026-10-16 |
Specs
| Pretraining corpus | Per-dataset training |
|---|---|
| Architecture | Graph-guided VAEs with adversarial alignment |
| Tasks | Multi-omics integration, regulatory inference |
| Species | Human, mouse |
| GitHub stars | 482 |
| Interface | — |
Specs come from each project's README, paper or official page · GLUE README · GLUE paper. “—” means we couldn't verify it.
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