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.
☆55Updated 7 months ago
Alternatives and similar repositories for PRnet
Users that are interested in PRnet are comparing it to the libraries listed below
Sorting:
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆121Updated 6 months ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆40Updated 3 weeks ago
- Modeling complex perturbations with CellFlow☆76Updated this week
- Repository for Nicheformer: a foundation model for single-cell and spatial omics☆95Updated 4 months ago
- ☆75Updated 2 months ago
- ☆10Updated 2 months ago
- Single-Cell (Perturbation) Model Library☆64Updated last week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆107Updated 11 months ago
- A visible neural network model for drug response prediction☆147Updated last year
- Contextual AI models for single-cell protein biology☆88Updated 5 months ago
- Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.☆27Updated last week
- Large language modeling applied to T-cell receptor (TCR) sequences.☆55Updated 3 years ago
- Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.☆71Updated last month
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆18Updated 4 months ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆69Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆83Updated 3 years ago
- GeneCompass☆84Updated last month
- A model developed for the generation of scRNA-seq data☆68Updated 5 months ago
- ☆20Updated 9 months ago
- Code for evaluating single cell foundation models scBERT and scGPT☆45Updated 11 months ago
- scPerturb: A resource and a python/R tool for single-cell perturbation data☆131Updated 5 months ago
- Single-cell perturbation effects prediction benchmark☆14Updated 2 weeks ago
- ☆30Updated 6 months ago
- Awesome-AI-Virtual-Cell☆67Updated this week
- State is a machine learning model that predicts cellular perturbation response across diverse contexts☆302Updated this week
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆33Updated 3 years ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆143Updated last year
- Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data☆120Updated 2 months ago
- ☆72Updated 11 months ago
- Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.☆90Updated last year