mkirchler / transferGWAS
Repository for transferGWAS, a deep learning method for performing genome-wide association studies on full medical imaging data.
☆13Updated 2 years ago
Alternatives and similar repositories for transferGWAS:
Users that are interested in transferGWAS are comparing it to the libraries listed below
- Scripts for data processing☆43Updated 9 months ago
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆68Updated 5 months ago
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- The Single-Cell Pathology Landscape of Breast Cancer☆26Updated 5 years ago
- ☆27Updated 2 years ago
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆75Updated 4 years ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆52Updated 4 years ago
- ☆11Updated 5 years ago
- Containerized cancer subtype prediction tools for gene expression, miRNA, DNA methylation, somatic mutations and copy number variation.☆22Updated last week
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆29Updated 3 weeks ago
- Data and code to accompany our Nature publication☆45Updated 2 years ago
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆34Updated 2 weeks ago
- Train a model to predict gene expression from histology slides.☆97Updated 2 years ago
- ☆42Updated 3 months ago
- ☆54Updated 2 years ago
- ☆47Updated 7 years ago
- Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer☆18Updated 4 years ago
- Deep-Learning framework for multi-omic and survival data integration☆80Updated last year
- Code for preparing and running the imageCCA method.☆20Updated 7 years ago
- A Python module for loading phenotypic and genetic data from the UK Biobank.☆35Updated 3 years ago
- Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.☆36Updated 5 years ago
- Morphology-Enhanced Spatial Transcriptome Analysis Integrator☆23Updated 2 weeks ago
- Python module for genetic analyses☆10Updated 2 weeks ago
- Code for paper "A deep profile of gene expression across 18 human cancers"☆20Updated 3 months ago
- ☆34Updated 3 years ago
- ☆31Updated 4 years ago
- ☆65Updated last year
- Pan-cancer quantitative histopathology analysis using deep learning☆10Updated 3 years ago