PILOT-GM-VAE
importedsoftware/pilot-gm-vae
Patient-Level Analysis of Single Cell Disease Atlas with Optimal Transport of Gaussian Mixtures Variational Autoencoders
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- CostaLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/CostaLab/PILOT-GM-VAE
- Documentation
- unknown
- Tags
- disease-progression · guassian-mixture-model · multi-scale-single-cell · optimal-transport · single-cell · variational-autoencoder
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- PILOTdisease-progression · multi-scale-single-cell · single-cell
Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)
- sisuasingle-cell · variational-autoencoder
SemI-SUpervised generative Autoencoder models for single cell data
- conditional-monge-gapoptimal-transport · single-cell
Conditional Monge Gap (2026; Nature Machine Intelligence)
- moscotoptimal-transport · single-cell
Multi-omic single-cell optimal transport tools
- Mowglioptimal-transport · single-cell
Single-cell multi-omics integration using Optimal Transport
- OT-scOmicsoptimal-transport · single-cell
This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in between single-cell omics data.
- api.github.com/repos/CostaLab/PILOT-GM-VAEretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-05-28, 10 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
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