Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments

Graph convolutional neural network for multirelational link prediction

This repository contains the graph neural networks built with PyTorch Geometric that are used in my bachelor thesis.

Enhancing Drug Combination Safety: A Comprehensive Solution

Code for Null Models used in Sinzger et al. (2019) Scientific Reports, 9, 3002

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments

PhD Thesis - Inferring effective cancer combination therapies using network-based multi-omics data integration