JieZheng-ShanghaiTech / SL_benchmarkLinks
Benchmarking study of machine learning methods for prediction of synthetic lethality
☆18Updated last year
Alternatives and similar repositories for SL_benchmark
Users that are interested in SL_benchmark are comparing it to the libraries listed below
Sorting:
- ☆33Updated 9 months ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆34Updated 2 years ago
- Contextual AI models for single-cell protein biology☆91Updated 9 months ago
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆64Updated 11 months ago
- ☆24Updated last year
- Paper collection for single cell foundation models☆35Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆129Updated 9 months ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆18Updated 2 years ago
- PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation☆53Updated 4 months ago
- Awesome-AI-Virtual-Cell☆124Updated 2 weeks ago
- [NBME] Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning☆23Updated 2 months ago
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆23Updated 3 years ago
- ☆25Updated last year
- GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations☆309Updated 9 months ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- TEIM: TCR-Epitope Interaction Modeling☆54Updated 2 years ago
- ☆84Updated 2 months ago
- A visible neural network model for drug response prediction☆148Updated 2 years ago
- Codebase for BioPathNet to predict links in biomedical knowledge graphs☆14Updated 2 months ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆73Updated 2 years ago
- Comprehensive suite for evaluating perturbation prediction models☆100Updated last week
- Large language modeling applied to T-cell receptor (TCR) sequences.☆57Updated 3 years ago
- Reusability report of scBERT☆15Updated last year
- Gene expression time-series extrapolation for heterogeneous data☆19Updated 2 years ago
- ☆91Updated 2 years ago
- ☆69Updated 2 years ago
- AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism (AIDO) by enabling researchers to adapt…☆95Updated last week
- The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…☆118Updated last year
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆113Updated 3 years ago
- This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Mu…☆106Updated 2 years ago