ratschlab / pmvaeLinks
Code for pmVAE model, seen in ICML CompBio '21
☆12Updated last year
Alternatives and similar repositories for pmvae
Users that are interested in pmvae are comparing it to the libraries listed below
Sorting:
- Matplotlib style for scientific publications☆14Updated 2 weeks ago
- Distributed single-cell data analysis.☆31Updated this week
- ☆36Updated 3 months ago
- Template repository for creating novel models with scvi-tools☆20Updated 2 years ago
- ☆81Updated last year
- Modeling complex perturbations with CellFlow☆82Updated last week
- Accelerated, Python-only, single-cell integration benchmarking metrics☆68Updated last week
- a dataloader to work with large single cell datasets from lamindb☆29Updated last week
- Spatial reconstruction of dissociated single-cell data☆19Updated last year
- Models and datasets for perturbational single-cell omics☆161Updated 3 years ago
- ☆63Updated 2 years ago
- ☆45Updated last month
- Semi-supervised adversarial neural networks for classification of single cell transcriptomics data☆75Updated 7 months ago
- Decima is a Python library to train sequence models on single-cell RNA-seq data.☆44Updated 2 weeks ago
- spatial transcriptome, single cell☆69Updated 2 years ago
- single cell foundation model for Gene network inference and more☆17Updated 2 months ago
- PROGENY Python implementation☆12Updated 3 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆55Updated 2 years ago
- ☆37Updated 3 months ago
- Flow & mass cytometry analytics.☆53Updated last week
- Unsupervised Deep Disentangled Representation of Single-Cell Omics☆48Updated last week
- Quantifying experimental perturbations at single cell resolution☆109Updated 10 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆140Updated 6 months ago
- ☆101Updated 2 years ago
- Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq da…☆14Updated 2 years ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆109Updated last year
- Functional and Learnable Cell dynamicS☆17Updated 3 months ago
- ☆47Updated last month
- ☆59Updated 11 months ago
- Multi-omic single-cell optimal transport tools☆171Updated last week