GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
☆403Feb 1, 2025Updated last year
Alternatives and similar repositories for GEARS
Users that are interested in GEARS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆30Oct 14, 2024Updated last year
- Single-cell perturbation effects prediction benchmark☆103May 6, 2026Updated 3 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆150Aug 14, 2024Updated 2 years ago
- State is a machine learning model that predicts cellular perturbation response across diverse contexts☆662Jul 24, 2026Updated last month
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆187Feb 25, 2025Updated last year
- 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.
- ☆93Jul 18, 2025Updated last year
- ☆427Nov 23, 2025Updated 9 months ago
- Models and datasets for perturbational single-cell omics☆182Aug 19, 2022Updated 4 years ago
- ☆1,621Apr 29, 2026Updated 4 months ago
- ☆72Jan 14, 2026Updated 7 months ago
- Single-cell perturbation analysis☆337Updated this week
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆66Jan 12, 2026Updated 7 months ago
- Arc Virtual Cell Atlas☆585Updated this week
- GenePert: Leveraging GenePT Embeddings for Gene Perturbation Prediction☆21Oct 29, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Comprehensive suite for evaluating perturbation prediction models☆155Jul 27, 2026Updated last month
- Modeling complex perturbations with CellFlow☆157Updated this week
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆89Dec 13, 2024Updated last year
- A repository for reproducing experiments from the TxPert paper☆47Mar 25, 2026Updated 5 months ago
- Single-Cell (Perturbation) Model Library☆126Jul 27, 2026Updated last month
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆181Oct 31, 2024Updated last year
- ☆324Mar 18, 2024Updated 2 years ago
- This is the alpha version of the CellOracle package☆488Apr 30, 2026Updated 4 months ago
- 🏃 The go-to single-cell Foundation Model☆157Aug 11, 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.
- ☆96Aug 10, 2026Updated 3 weeks ago
- ☆342Aug 16, 2026Updated 2 weeks ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆157Feb 6, 2025Updated last year
- pytorch dataloaders for single-cell perturbation data☆51Jul 18, 2026Updated last month
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆71Jun 6, 2020Updated 6 years ago
- Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)☆18Jun 15, 2025Updated last year
- ☆15Jul 24, 2024Updated 2 years ago
- ☆184Jan 30, 2026Updated 7 months ago
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆259Mar 14, 2026Updated 5 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell lev…☆186Sep 7, 2023Updated 2 years ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆334Jul 8, 2026Updated last month
- Single cell perturbation prediction☆355Dec 5, 2024Updated last year
- scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics☆52Jan 30, 2026Updated 7 months ago
- ☆361Dec 13, 2023Updated 2 years ago
- ☆135Jul 11, 2026Updated last month
- ☆40Apr 16, 2025Updated last year