recursionpharma / EFAAR_benchmarkingLinks
External repo for the EFAAR benchmarking paper
☆22Updated last month
Alternatives and similar repositories for EFAAR_benchmarking
Users that are interested in EFAAR_benchmarking are comparing it to the libraries listed below
Sorting:
- Images and other data from the JUMP Cell Painting Consortium☆177Updated this week
- Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.☆64Updated 4 months ago
- Cell Painting Gallery☆110Updated this week
- Evaluating batch correction methods for image-based cell profiling☆14Updated 2 months ago
- ☆19Updated 9 months ago
- Contextual AI models for single-cell protein biology☆89Updated 8 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆127Updated 8 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆51Updated 2 months ago
- ☆66Updated 8 months ago
- A repository for reproducing experiments from the TxPert paper☆18Updated 5 months ago
- Modeling complex perturbations with CellFlow☆91Updated last week
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Updated 2 years ago
- Processed Cell Painting Data for the LINCS Drug Repurposing Project☆30Updated 3 years ago
- ☆87Updated 2 months ago
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆23Updated 9 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated 3 months ago
- ☆73Updated last year
- A foundation model framework for analyzing multiplexed tissue imaging data across molecular, cellular and tissue scales enabling clinical…☆39Updated 8 months ago
- ☆35Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆49Updated 3 months ago
- Comprehensive suite for evaluating perturbation prediction models☆96Updated this week
- Starter repository for submissions to the CausalBench challenge for gene-gene graph inference from genetic perturbation experiments.☆31Updated 2 years ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆148Updated 11 months ago
- A model developed for the generation of scRNA-seq data☆77Updated 8 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆116Updated last year
- ☆30Updated 2 weeks ago
- AI-Driven Digital Organism (AIDO) is a system of multiscale foundation models for predicting, simulating and programming biology at all l…☆129Updated last month
- Cell Painting and other pipelines from the Imaging Platform☆21Updated 9 months ago
- Self-supervised models for encoding protein localization patterns from microscopy images☆78Updated 2 months ago
- Python package for processing image-based profiling data☆124Updated 2 weeks ago