ongoing complete MethylNet Deep learning DNA Methylation Framework PyMethylProcess convenient high-throughput preprocessing workflow for DNA methylation data PolyCRACKER unsupervised partitioning of polyploid subgenomes by signatures of repetitive DNA evolution PathFlowAI High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology WSI-GTFE Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks MethylCapsNet Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks GCN4R Estimating latent positions in social and biological networks using Graph Neural Networks Interaction Transformer Extract meaningful interactions from machine learning models to obtain machine-learning performance with statistical model interpretability.
