Perturbation-Response-Prediction / PRnetLinks
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
☆66Updated 11 months ago
Alternatives and similar repositories for PRnet
Users that are interested in PRnet are comparing it to the libraries listed below
Sorting:
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆53Updated 4 months ago
- ☆84Updated 3 months ago
- Contextual AI models for single-cell protein biology☆93Updated 9 months ago
- Awesome-AI-Virtual-Cell☆127Updated this week
- ☆24Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆129Updated 9 months ago
- A model developed for the generation of scRNA-seq data☆78Updated 8 months ago
- A visible neural network model for drug response prediction☆148Updated 2 years ago
- Large language modeling applied to T-cell receptor (TCR) sequences.☆57Updated 3 years ago
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆122Updated 7 months ago
- ☆63Updated last week
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆28Updated last month
- ☆34Updated 9 months ago
- GeneCompass☆98Updated last month
- Modeling complex perturbations with CellFlow☆96Updated last week
- A Deep Learning based Efficacy Prediction System for drug discovery☆73Updated 2 years ago
- Single-Cell (Perturbation) Model Library☆81Updated 2 months ago
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆118Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆87Updated 3 years ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆99Updated last year
- ☆51Updated last year
- ☆14Updated 5 months ago
- ☆73Updated last year
- ☆25Updated last year
- Comprehensive suite for evaluating perturbation prediction models☆106Updated last week
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆29Updated 3 months ago
- Code for "LangCell: Language-Cell Pre-training for Cell Identity Understanding".☆63Updated 10 months ago
- ☆54Updated 11 months ago
- ☆58Updated 4 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆152Updated 8 months ago