schulter / EMOGILinks
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
☆152Updated 3 years ago
Alternatives and similar repositories for EMOGI
Users that are interested in EMOGI are comparing it to the libraries listed below
Sorting:
- Multi-omics integration method using AE and GCN☆35Updated 2 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆110Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Contextual AI models for single-cell protein biology☆86Updated 4 months ago
- MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in…☆163Updated 4 years ago
- scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks☆145Updated 11 months ago
- A visible neural network model for drug response prediction☆144Updated last year
- ☆82Updated 2 years ago
- ☆57Updated 5 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆56Updated 4 years ago
- ☆23Updated 4 years ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆16Updated 2 years ago
- Deep-Learning framework for multi-omic and survival data integration☆82Updated last year
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆17Updated 8 months ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆119Updated 3 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆84Updated 2 years ago
- ☆11Updated 4 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆130Updated 2 years ago
- ☆33Updated 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 …☆33Updated last year
- Single-cell biological network inference using a heterogeneous graph transformer☆73Updated 4 months ago
- A VGAE-based model to infer transcription factor regulatory network☆27Updated 2 years ago
- ☆30Updated 5 months ago
- Transformer for One-Stop Interpretable Cell-type Annotation☆142Updated last year
- CNN architecture for predicting DNA binding sites for Transcription Factors☆52Updated 6 years ago
- MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations☆79Updated 7 months ago
- ☆42Updated 6 months ago
- A repository for neural representational learning of RNA secondary structures☆32Updated 5 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Updated 2 years ago