SAEG: A Novel Deep Learning Architecture for Somatic Alterations
Luis Fernando Iglesias-Martinez, Dan Yang Wester, Walter Kölch
SAEG is a deep learning model that predicts gene knockout susceptibility by integrating mutations, copy number alterations, and protein interactions, outperforming existing methods.
bioRxiv · Feb 21, 2025 · PreprintBioinformatics