xianglin226 / Benchmarking-Single-Cell-PerturbationLinks
Single-Cell (Perturbation) Model Library
☆63Updated 2 weeks ago
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 3 weeks ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆94Updated 3 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆129Updated 4 months ago
- ☆303Updated last week
- Models and datasets for perturbational single-cell omics☆153Updated 2 years ago
- ☆19Updated 8 months ago
- Modeling complex perturbations with CellFlow☆64Updated this week
- ☆70Updated last month
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆272Updated 5 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆142Updated last year
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆34Updated this week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆102Updated 10 months ago
- ☆321Updated last month
- A model developed for the generation of scRNA-seq data☆67Updated 4 months ago
- UCE is a zero-shot foundation model for single-cell gene expression data☆207Updated 4 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆44Updated 10 months ago
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 4 months ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆87Updated last year
- ☆17Updated 2 weeks ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆54Updated 7 months ago
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆117Updated 5 months ago
- ☆82Updated 2 years ago
- A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models☆67Updated last year
- Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.☆58Updated last year
- A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to repr…☆201Updated 2 weeks ago
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆60Updated 6 months ago
- GeneCompass☆84Updated 3 weeks ago
- 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
- Additional code and analysis from the single-cell integration benchmarking project☆67Updated 2 years ago
- ☆17Updated 3 years ago