Summary
We have used techniques in machine learning and deconvolution of methylation data to elucidate genomic profiles of several CNS cancers. Recent advances in artificial intelligence (AI) and computer vision empower deep learning models to infer molecular features from histopathology images to classify central nervous system (CNS) tumors. We trained deep neural networks to predict DNA methylation and gene expression from whole slide images (WSIs). Using these predictions, we trained a hierarchical machine learning framework, termed Neuropath-AI, to predict 52 tumor types using a large, diverse coh
