Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
☆150Feb 6, 2025Updated last year
Alternatives and similar repositories for chemCPA
Users that are interested in chemCPA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆146Aug 14, 2024Updated last year
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆185Sep 7, 2023Updated 2 years ago
- Notebooks for CPA figures☆15Dec 9, 2022Updated 3 years ago
- ACTIONet single-cell analysis framework☆45Sep 16, 2024Updated last year
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆61May 6, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆363Feb 1, 2025Updated last year
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆172Oct 31, 2024Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆174Feb 25, 2025Updated last year
- CellDrift: temporal perturbation effects for single cell data☆13Dec 3, 2022Updated 3 years ago
- Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.☆22Sep 12, 2025Updated 8 months ago
- Single cell perturbation prediction☆343Dec 5, 2024Updated last year
- ☆26Jan 10, 2025Updated last year
- ☆33Oct 4, 2020Updated 5 years ago
- Supervised Training of Conditional Monge Maps☆19Oct 30, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆68Jul 21, 2023Updated 2 years ago
- ☆11Dec 8, 2023Updated 2 years ago
- ☆15Jul 8, 2022Updated 3 years ago
- State is a machine learning model that predicts cellular perturbation response across diverse contexts☆585May 4, 2026Updated 3 weeks ago
- ☆35Jan 21, 2025Updated last year
- ☆38Apr 16, 2025Updated last year
- ☆12Jun 16, 2025Updated 11 months ago
- AnnapuRNA: a scoring function for predicting RNA-small molecule interactions.☆21Apr 5, 2024Updated 2 years ago
- Comprehensive suite for evaluating perturbation prediction models☆132Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Reproducing the experiments in the paper☆11Dec 14, 2021Updated 4 years ago
- Single-cell perturbation analysis☆314Updated this week
- Drug Response Variational Autoencoder☆34Apr 4, 2019Updated 7 years ago
- ☆20Aug 28, 2022Updated 3 years ago
- Quantifying experimental perturbations at single cell resolution☆114Sep 27, 2024Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆65Jan 12, 2026Updated 4 months ago
- Deep probabilistic analysis of single-cell and spatial omics data☆1,629Updated this week
- ☆28Apr 1, 2025Updated last year
- ☆1,566Apr 29, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆78Dec 13, 2024Updated last year
- ☆83Jan 9, 2026Updated 4 months ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆69Jun 6, 2020Updated 5 years ago
- Inclusive and efficient quantification of labeling and splicing RNAs for time-resolved metabolic labeling based scRNA-seq experiments☆19Aug 12, 2025Updated 9 months ago
- A model developed for the generation of scRNA-seq data☆90Jan 21, 2026Updated 4 months ago
- Multiscale earth mover's distance methods for tree and manifold structured data☆13Mar 8, 2025Updated last year
- Single-cell perturbation effects prediction benchmark☆87May 6, 2026Updated 2 weeks ago