xianglin226 / Benchmarking-Single-Cell-PerturbationLinks
Single-Cell (Perturbation) Model Library
☆64Updated this week
Alternatives and similar repositories for Benchmarking-Single-Cell-Perturbation
Users that are interested in Benchmarking-Single-Cell-Perturbation are comparing it to the libraries listed below
Sorting:
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆71Updated last month
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 4 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆129Updated 5 months ago
- Models and datasets for perturbational single-cell omics☆155Updated 2 years ago
- ☆20Updated 9 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆106Updated 11 months ago
- ☆315Updated 3 weeks ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆143Updated last year
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆278Updated 6 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆45Updated 11 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆213Updated 5 months ago
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 5 months ago
- A model developed for the generation of scRNA-seq data☆68Updated 5 months ago
- Modeling complex perturbations with CellFlow☆74Updated this week
- ☆323Updated 2 months ago
- ☆74Updated 2 months ago
- ☆19Updated last month
- ☆132Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated 3 weeks ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆89Updated last year
- Multi-omics data analysis for rare population inference using single-cell graph transformer☆19Updated 8 months ago
- single cell foundation model for Gene network inference and more☆96Updated this week
- Single-cell perturbation effects prediction benchmark☆14Updated last week
- ☆83Updated 2 years ago
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆210Updated last month
- A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.☆57Updated 6 months ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆69Updated last year
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆121Updated 3 years ago
- Learning Single-Cell Perturbation Responses using Neural Optimal Transport☆142Updated 9 months ago