causalbench / causalbench-starterLinks
Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.
☆32Updated 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:
- Images and other data from the JUMP Cell Painting Consortium☆180Updated last week
- ☆63Updated 2 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆153Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆124Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆135Updated 10 months ago
- Comprehensive suite for evaluating perturbation prediction models☆113Updated last week
- ☆56Updated 6 months ago
- Modeling complex perturbations with CellFlow☆104Updated last week
- External repo for the EFAAR benchmarking paper☆25Updated 2 weeks ago
- Biological Network Integration using Convolutions☆63Updated last year
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆53Updated 3 years ago
- ☆67Updated 5 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 4 months ago
- Python package for processing image-based profiling data☆130Updated 2 weeks ago
- ☆80Updated 3 years ago
- ☆66Updated 2 years ago
- Functional and Learnable Cell dynamicS☆19Updated 7 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆33Updated 5 months ago
- A simulator for single-cell expression data guided by gene regulatory networks☆72Updated last year
- Models and datasets for perturbational single-cell omics☆171Updated 3 years ago
- GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems☆38Updated 5 months ago
- ☆19Updated 2 years ago
- ☆88Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆183Updated 2 years ago
- ☆68Updated 10 months ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆31Updated 3 years ago
- ☆38Updated 2 weeks ago
- Simulating single-cell data using gene regulatory networks 📠☆78Updated last year
- Generating biologically informed neural networks☆53Updated 10 months ago