☆75Feb 17, 2026Updated 2 weeks ago
Alternatives and similar repositories for perturbench
Users that are interested in perturbench are comparing it to the libraries listed below
Sorting:
- Single-Cell (Perturbation) Model Library☆92Jan 17, 2026Updated last month
- ☆17May 23, 2025Updated 9 months ago
- ☆66Jul 21, 2023Updated 2 years ago
- Single-cell perturbation analysis☆289Updated this week
- Difference in Intercellular Communication from scRNA-seq data☆24Oct 14, 2025Updated 4 months ago
- ☆15Dec 18, 2024Updated last year
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆337Feb 1, 2025Updated last year
- Comprehensive suite for evaluating perturbation prediction models☆122Feb 26, 2026Updated last week
- ☆25Oct 14, 2024Updated last year
- Sample representation benchmark for single-cell data☆13Aug 11, 2025Updated 6 months ago
- Public Codebase supporting the paper "Modeling Cellular Perturbations with The Sparse Additive Mechanism Shift Variational Autoencoder" b…☆14Oct 20, 2023Updated 2 years ago
- Integrating temporal gene expression modalities for trajectory inference and disease prediction☆10Sep 20, 2022Updated 3 years ago
- ☆12Jul 13, 2018Updated 7 years ago
- An r package that works as a wrapper to homologene☆49Nov 2, 2023Updated 2 years ago
- SIGnature is a Python package that empowers researchers to rapidly query gene sets across diverse single-cell RNA sequencing (scRNA-seq) …☆23Dec 12, 2025Updated 2 months ago
- Bencharking pipeline for evaluating Transcriptomic representations for perturbation tasks☆12Nov 5, 2024Updated last year
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆169Feb 25, 2025Updated last year
- Analysis steps to calculate RNA Velocity in Bulk RNA-Seq samples. Step by Step Guide.☆17Jan 7, 2020Updated 6 years ago
- VEGA: VAE Enhanced by Gene Annotations☆17May 5, 2022Updated 3 years ago
- parallel differential expression for single-cell perturbation sequencing☆24Feb 25, 2026Updated last week
- Models and datasets for perturbational single-cell omics☆173Aug 19, 2022Updated 3 years ago
- High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations☆53Aug 11, 2025Updated 6 months ago
- ☆36Feb 20, 2026Updated 2 weeks ago
- ☆13Jan 8, 2026Updated last month
- code for paper: Identifiability Guarantees for Causal Disentanglement from Soft Interventions☆15Nov 27, 2023Updated 2 years ago
- ☆15Jun 27, 2025Updated 8 months ago
- ☆92Aug 12, 2024Updated last year
- ☆74Jul 18, 2025Updated 7 months ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆56Jul 27, 2023Updated 2 years ago
- ☆17Nov 13, 2021Updated 4 years ago
- ☆21Feb 25, 2026Updated last week
- Modeling complex perturbations with CellFlow☆123Updated this week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆135Aug 14, 2024Updated last year
- 🏃 The go-to single-cell Foundation Model☆142Feb 20, 2026Updated 2 weeks ago
- A simulator for single-cell expression data guided by gene regulatory networks☆75May 8, 2024Updated last year
- Maximum mean discrepancy comparisons for single cell profiling experiments☆19Feb 9, 2022Updated 4 years ago
- ☆18May 12, 2023Updated 2 years ago
- ☆20Nov 28, 2020Updated 5 years ago
- 🔍 Enable AI assistants to search and access bioRxiv papers through a simple MCP interface.☆20Mar 18, 2025Updated 11 months ago