50 citations · 83 across the 11 of their papers we have counts for
13 papers
Graphlets correct for the topological information missed by random walks
Sam F. L. Windels, Noel Malod-Dognin, Natasa Przulj
Random walks are widely used for mining networks due to the computational efficiency of computing them. For instance, graph representation learning learns a d-dimensional embedding…
Simplicity within biological complexity
Natasa Przulj, Noel Malod-Dognin
Heterogeneous, interconnected, systems-level, molecular data have become increasingly available and key in precision medicine. We need to utilize them to better stratify patients i…
Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing
Andreas Maier, Michael Hartung, Mark Abovsky +36
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In…
Integrative Data Analytic Framework to Enhance Cancer Precision Medicine
Thomas Gaudelet, Noel Malod-Dognin, Natasa Przulj
With the advancement of high-throughput biotechnologies, we increasingly accumulate biomedical data about diseases, especially cancer. There is a need for computational models and…
Unveiling new disease, pathway, and gene associations via multi-scale neural networks
Thomas Gaudelet, Noel Malod-Dognin, Jon Sanchez-Valle +3
Diseases involve complex processes and modifications to the cellular machinery. The gene expression profile of the affected cells contains characteristic patterns linked to a disea…
Functional geometry of protein-protein interaction networks
Noel Malod-Dognin, Natasa Przulj
Motivation: Protein-protein interactions (PPIs) are usually modelled as networks. These networks have extensively been studied using graphlets, small induced subgraphs capturing th…