ArcInstitute / cell-evalLinks
Comprehensive suite for evaluating perturbation prediction models
☆122Updated 3 weeks ago
Alternatives and similar repositories for cell-eval
Users that are interested in cell-eval are comparing it to the libraries listed below
Sorting:
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆165Updated 11 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆134Updated last year
- Models and datasets for perturbational single-cell omics☆171Updated 3 years ago
- ☆90Updated last year
- ☆70Updated 6 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆242Updated 11 months ago
- Single-Cell (Perturbation) Model Library☆89Updated 3 weeks ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆143Updated last year
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆35Updated 6 months ago
- ☆92Updated 5 months ago
- Modeling complex perturbations with CellFlow☆118Updated this week
- Single-cell perturbation effects prediction benchmark☆58Updated last month
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆61Updated 3 weeks ago
- ☆155Updated last year
- 🏃 The go-to single-cell Foundation Model☆138Updated last month
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆150Updated 2 months ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆157Updated last year
- A model developed for the generation of scRNA-seq data☆85Updated 2 weeks ago
- Single-cell perturbation analysis☆283Updated this week
- Code for evaluating single cell foundation models scBERT and scGPT☆46Updated last year
- ☆90Updated 2 years ago
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆331Updated last year
- Transformer for One-Stop Interpretable Cell-type Annotation☆146Updated last year
- ☆100Updated 3 months ago
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆233Updated last month
- ☆79Updated last month
- ☆38Updated last month
- federated learning with tabular learning☆25Updated 11 months ago
- ☆36Updated 9 months ago
- ☆136Updated 10 months ago