hzy95 / EPIVANLinks
☆17Updated 6 years ago
Alternatives and similar repositories for EPIVAN
Users that are interested in EPIVAN are comparing it to the libraries listed below
Sorting:
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆52Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, …☆84Updated 3 years ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆19Updated 2 years ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 6 months ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆100Updated 2 years ago
- A repository for neural representational learning of RNA secondary structures☆32Updated 6 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆28Updated 4 years ago
- DeepSEA implements in PyTorch☆25Updated 6 years ago
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 7 years ago
- [Nat. Commun.] Code for paper 'Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely …☆33Updated 4 years ago
- ☆48Updated 4 years ago
- A Deep Learning based Efficacy Prediction System for drug discovery☆74Updated 3 years ago
- ☆57Updated 6 years ago
- A deep generative neural network based approach to impute drug response☆21Updated 4 years ago
- A visible neural network model for drug response prediction☆152Updated 2 years ago
- L1000 peak deconvolution based on Bayesian analysis☆28Updated 4 years ago
- TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow☆13Updated 3 years ago
- ☆38Updated 2 years ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆32Updated 2 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆160Updated 3 years ago
- ☆35Updated last year
- ☆22Updated 2 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆75Updated 2 years ago
- TBiNet: A deep neural network for predicting transcription factor binding sites using attention mechanism☆25Updated 5 years ago
- TEIM: TCR-Epitope Interaction Modeling☆56Updated 2 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆113Updated 3 years ago
- Pytorch implementation of DeepNovoV2, a state-of-the-art de novo peptide sequencing model.☆27Updated 6 years ago
- ☆20Updated 3 years ago
- Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…☆22Updated 4 years ago