82 citations · 84 across the 3 of their papers we have counts for
3 papers
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease
Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné +3
Omics data analysis is crucial for studying complex diseases, but its high dimensionality and heterogeneity challenge classical statistical and machine learning methods. Graph neur…
Penalised regression with multiple sources of prior effects
Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel +1
In many high-dimensional prediction or classification tasks, complementary data on the features are available, e.g. prior biological knowledge on (epi)genetic markers. Here we cons…
A look into the future of the COVID-19 pandemic in Europe: an expert consultation
Emil Nafis Iftekhar, Viola Priesemann, Rudi Balling +31
How will the coronavirus disease 2019 (COVID-19) pandemic develop in the coming months and years? Based on an expert survey, we examine key aspects that are likely to influence COV…