Nils Wagner

The paper improves aberrant splicing variant prediction across developmental stages and identifies developmentally restricted variants linked to neurodevelopmental disorders.

This paper introduces nucleotide dependency analysis to identify genomic functional elements, showing it outperforms existing methods in detecting regulatory elements and RNA structures.

The paper develops AbExp, a model predicting aberrant gene expression across tissues, achieving 12% average precision by integrating variant effects and tissue-specific expression variability.

RBPNet predicts CLIP crosslink count distributions from RNA sequences, outperforming existing methods and enabling variant impact scoring.

The paper predicts tissue-specific aberrant splicing by improving DNA-based models with RNA-seq data and benchmarking over 8.8 million variants across 49 human tissues.