Machine learning for Alzheimer’s disease classification from genomic tiling variants

As machine learning (ML) technologies make improving strides, they’ve demonstrated advantageous novelties in the understanding and prediction of Alzheimer’s Disease (AD). Recent efforts in AD research have aimed to capitalize ML for AD genomics. Whole‐genome tiling (WGT) establishes a new representation of whole‐genome sequencing (WGS) data, one that has been brought forth in support of ML and precision medicine.