Lars Ridder

sv-channels: filtering genomic deletions using one-dimensional convolutional neural networks

sv-channels improves SV detection precision using deep learning, outperforming GRIDSS while maintaining Manta's recall.

DeepRank: A deep learning framework for data mining 3D protein-protein interfaces

DeepRank uses 3D CNNs to mine protein-protein interfaces, achieving competitive or better performance in classification and docking model ranking.

MS2DeepScore - a novel deep learning similarity measure for mass fragmentation spectrum comparisons

MS2DeepScore uses a Siamese neural network to predict structural similarity from mass fragmentation spectra, outperforming classical methods and enabling chemically meaningful spectral embeddings.

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

Spec2Vec improves spectral similarity scoring by learning fragmental relationships, showing better correlation with structural similarity than cosine-based scores in metabolomics analyses.

Deciphering complex metabolite mixtures by unsupervised and supervised substructure discovery and semi-automated annotation from MS/MS spectra

This paper introduces methods to improve metabolite annotation using substructure discovery and machine learning, along with a database for shared motifs.

Reliable and automatic epilepsy classification with affordable, consumer-grade electroencephalography in rural sub-Saharan Africa

This study uses low-cost consumer-grade EEG and machine learning to classify epilepsy in rural settings, achieving moderate cross-country performance.