Frank Krämer

The paper adapts graph convolutional neural networks and graph layer-wise relevance propagation to the Spektral library for analyzing gene expression data from colorectal cancer patients, identifying relevant genes and subnetworks.

NDExEdit is a web-based tool for editing biological network visualizations in the browser, supporting the Cytoscape CX format and enabling data-dependent modifications without requiring installation.

MetaRelSubNetVis enables group-wise network visualizations with patient data and facilitates reliable sharing of visualizations between collaborators.

The paper introduces R-based tools for reproducible integration, exploration, and visualization of biological networks, with available code and documentation.

The paper introduces an R package called RCX that enables handling and converting biological networks in the Cytoscape Exchange format within R.

The paper introduces GLRP, a method to explain Graph-CNN decisions in breast cancer metastasis prediction, identifying patient-specific molecular subnetworks that align with clinical knowledge.