PT  - JOURNAL ARTICLE
AU  - Zeynep Kalender Atak
AU  - Ibrahim Ihsan Taskiran
AU  - Christopher Flerin
AU  - David Mauduit
AU  - Liesbeth Minnoye
AU  - Gert Hulsemans
AU  - Valerie Christiaens
AU  - Ghanem-Elias Ghanem
AU  - Jasper Wouters
AU  - Stein Aerts
TI  - Prioritization of enhancer mutations by combining allele-specific chromatin accessibility with deep learning
AID  - 10.1101/2019.12.21.885806
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 2019.12.21.885806
4099  - http://biorxiv.org/content/early/2019/12/23/2019.12.21.885806.short
4100  - http://biorxiv.org/content/early/2019/12/23/2019.12.21.885806.full
AB  - Prioritization of non-coding genome variation benefits from explainable AI to predict and interpret the impact of a mutation on gene regulation. Here we apply a specialized deep learning model to phased melanoma genomes and identify functional enhancer mutations with allelic imbalance of chromatin accessibility and gene expression.