causalbench / causalbench-starter
Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.
☆29Updated 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:
- ☆61Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆100Updated 9 months ago
- Images and other data from the JUMP Cell Painting Consortium☆169Updated 3 months ago
- Code for pmVAE model, seen in ICML CompBio '21☆12Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆112Updated 3 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆134Updated 6 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆32Updated 2 weeks ago
- Sequential Optimal Experimental Design of Perturbation Screens Guided by Multimodal Priors☆40Updated 11 months ago
- Biological Network Integration using Convolutions☆62Updated last year
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆28Updated 2 years ago
- External repo for the EFAAR benchmarking paper☆19Updated last month
- ☆31Updated last week
- A Python toolkit for setting up benchmarking dataset using biomedical networks☆22Updated this week
- ☆78Updated 9 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆48Updated 3 months ago
- ☆41Updated 6 months ago
- Distributed single-cell data analysis.☆31Updated last week
- pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…☆21Updated last month
- A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.☆50Updated 3 years ago
- Modeling complex perturbations with CellFlow☆34Updated this week
- Models and datasets for perturbational single-cell omics☆154Updated 2 years ago
- A deep-learning framework for multi-omics integration☆26Updated last year
- ☆38Updated 6 months ago
- Simulating single-cell data using gene regulatory networks 📠☆73Updated last year
- a package for streamlined multidomain data integration and translation based on cross-modal autoencoders architectures☆29Updated last year
- A simulator for single-cell expression data guided by gene regulatory networks☆61Updated last year
- ☆62Updated 8 months ago
- Scripts associated with the 2023 Open Problems competition☆11Updated last year
- Functional and Learnable Cell dynamicS☆16Updated 2 weeks ago