causalbench / causalbench-starterLinks
Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.
☆30Updated 2 years ago
Alternatives and similar repositories for causalbench-starter
Users that are interested in causalbench-starter are comparing it to the libraries listed below
Sorting:
- ☆63Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Images and other data from the JUMP Cell Painting Consortium☆173Updated last week
- Code for pmVAE model, seen in ICML CompBio '21☆12Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 10 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated last month
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆138Updated 7 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆115Updated 4 months ago
- Models and datasets for perturbational single-cell omics☆152Updated 2 years ago
- External repo for the EFAAR benchmarking paper☆20Updated last week
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 5 months ago
- Biological Network Integration using Convolutions☆62Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- ☆43Updated 2 weeks ago
- Modeling complex perturbations with CellFlow☆57Updated this week
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated last year
- ☆80Updated 10 months ago
- ☆34Updated last month
- Multi-omic single-cell optimal transport tools☆163Updated last week
- Notebooks used in scvi-tools tutorials☆54Updated this week
- Conditional out-of-distribution prediction☆62Updated 10 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆66Updated last year
- Simulating single-cell data using gene regulatory networks 📠☆74Updated last year
- A deep-learning framework for multi-omics integration☆26Updated last year
- Cell Painting Gallery☆93Updated last week
- Diffusion model for gene regulatory network inference.☆19Updated 2 months ago
- A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical…☆31Updated 4 months ago
- Generating biologically informed neural networks☆48Updated 4 months ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆28Updated 2 years ago