jump-cellpainting / datasetsLinks
Images and other data from the JUMP Cell Painting Consortium
☆174Updated 2 weeks ago
Alternatives and similar repositories for datasets
Users that are interested in datasets are comparing it to the libraries listed below
Sorting:
- Cell Painting Gallery☆94Updated 2 weeks ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆118Updated 5 months ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆49Updated 5 months ago
- ☆63Updated 5 months ago
- Lists and 384-well plate maps of compounds and genetic perturbations designed to assess connectivity in profiling assays☆21Updated 6 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated this week
- Contextual AI models for single-cell protein biology☆86Updated 5 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆208Updated 4 months ago
- Modeling complex perturbations with CellFlow☆68Updated this week
- A visible neural network model for drug response prediction☆144Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆102Updated 11 months ago
- Models and datasets for perturbational single-cell omics☆153Updated 2 years ago
- External repo for the EFAAR benchmarking paper☆20Updated this week
- CellBox: Interpretable Machine Learning for Perturbation Biology☆54Updated last year
- Python package for processing image-based profiling data☆120Updated this week
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆55Updated 7 months ago
- Evaluating batch correction methods for image-based cell profiling☆14Updated 6 months ago
- ☆70Updated last month
- ☆72Updated 10 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆129Updated 4 months ago
- ☆34Updated 2 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆140Updated 8 months ago
- Biological Network Integration using Convolutions☆62Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆26Updated 3 weeks ago
- A model developed for the generation of scRNA-seq data☆67Updated 4 months ago
- BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.☆202Updated 3 weeks ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆54Updated 3 years ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆272Updated 5 months ago
- AI-Driven Digital Organism (AIDO) is a system of multiscale foundation models for predicting, simulating and programming biology at all l…☆105Updated this week
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆94Updated 3 months ago