David Haan

This paper validates a pancreatic cancer detection test using 5-hydroxymethylation signatures in cell-free DNA from patients with new-onset diabetes, showing high specificity and moderate sensitivity.

The paper introduces eVIP2, a tool to predict the functional impact of gene variants using gene expression data, and validates its predictions with experimental assays.

The paper analyzes whole-genome sequencing data from cancer samples to identify genomic footprints of telomere maintenance mechanisms, finding specific telomere variant repeat patterns associated with ATRX/DAXX mutations.

The paper introduces the Cancer LncRNA Census (CLC), a curated resource of lncRNAs with causative roles in cancer, and shows their genomic and evolutionary features.

The paper examines how somatic structural variations affect TAD boundaries and gene regulation in human cancers using whole genome sequencing data.

This study analyzes chromothripsis in 2,658 cancers using whole-genome sequencing, finding it prevalent across multiple cancer types with complex structural alterations.

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

The paper introduces LURE, a semi-supervised method to predict cancer drivers using gene expression signatures, and applies it to TCGA data to find new associations with known mutation events.

The paper analyzes non-coding mutations across 2,583 cancer genomes to identify genes and pathways affected, finding clusters of interacting proteins and insights into cancer mechanisms.