Riku Katainen

The paper introduces MuAt, a deep learning model that learns representations of somatic mutations to predict tumour types and subtypes with high accuracy.

The paper analyzes POLE exonuclease domain mutants in colorectal cancer, identifying mutation spectra differences and a specific TP53 mutation enrichment.

This study identifies retrotransposon insertions in colorectal tumors, linking them to cancer initiation and poor patient survival.

BasePlayer is a software tool for analyzing large-scale NGS data, enabling variant analysis, visualization, and integration of genomic data.