mkirchler / transferGWAS
Repository for transferGWAS, a deep learning method for performing genome-wide association studies on full medical imaging data.
☆11Updated 2 years ago
Related projects: ⓘ
- Scripts for data processing☆39Updated 3 months ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆20Updated 3 years ago
- Methods for training and interpreting deep radiogenomic neural networks☆13Updated 4 years ago
- Data and code to accompany our Nature publication☆41Updated 2 years ago
- A set of codes to classify H&E slides using deep learning☆27Updated 2 years ago
- TCGA BLCA tmb prediction by Hongming Xu☆13Updated 3 years ago
- Radiomics Analysis for Prediction of EGFR Mutations and Ki-67 Proliferation Index in Patients with Non-Small Cell Lung Cancer☆12Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆18Updated 7 months ago
- ☆25Updated last year
- ☆11Updated 4 years ago
- ☆14Updated 5 years ago
- ☆47Updated 7 years ago
- ☆42Updated 2 years ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆47Updated 4 years ago
- ☆28Updated 3 years ago
- Pan-cancer tils analysis study by Hongming Xu☆13Updated 3 years ago
- Pathway-based sparse deep neural network for survival analysis☆36Updated last year
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 4 years ago
- ☆10Updated 5 years ago
- Train a model to predict gene expression from histology slides.☆91Updated 2 years ago
- a deep learning approach for integrative cancer subtyping of multi-omics data☆37Updated 4 months ago
- A pan-cancer platform for mutation prediction from routine histology☆67Updated 3 years ago
- ☆17Updated last year
- Multi-task deep learning framework for multi-omics data analysis☆40Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆74Updated 3 years ago
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆20Updated 2 months ago
- ☆20Updated 2 years ago
- ☆11Updated 8 months ago
- Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction☆82Updated 5 years ago