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Bioinformatics (Oxford, England)|June 17, 2014
Scale-space measures for graph topology link protein network architecture to functionMarc Hulsman, Christos Dimitrakopoulos, Jeroen de RidderBMC Bioinformatics|January 25, 2013
Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusionSepideh Babaei, Marc Hulsman, Marcel Reinders, et al.Plos Computational Biology|May 13, 2015
Hi-C Chromatin Interaction Networks Predict Co-expression in the Mouse CortexSepideh Babaei, Ahmed Mahfouz, Marc Hulsman, et al.Bioinformatics (Oxford, England)|June 15, 2015
FERAL: network-based classifier with application to breast cancer outcome predictionAmin Allahyar, Jeroen de RidderGenome Biology|April 11, 2023
Comprehensive benchmark and architectural analysis of deep learning models for nanopore sequencing basecallingMarc Pagès-Gallego, Jeroen de RidderNucleic Acids Research|October 27, 2022
Echtvar: compressed variant representation for rapid annotation and filtering of SNPs and indelsBrent S Pedersen, Jeroen de RidderBioinformatics (Oxford, England)|December 31, 2020
svMIL: predicting the pathogenic effect of TAD boundary-disrupting somatic structural variants through multiple instance learningMarleen M Nieboer, Jeroen de RidderLife (Basel, Switzerland)|January 21, 2022
Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and IntegrationAlexandra Danyi, Myrthe Jager, Jeroen de RidderPlos Computational Biology|February 7, 2019
A data-driven interactome of synergistic genes improves network-based cancer outcome predictionAmin Allahyar, Joske Ubels, Jeroen de RidderPageof 17