Hiroaki Kitano

The paper introduces a framework using 2D contour analysis and autoencoder embeddings to cluster co-expressed genes, achieving high correlation with visual coherence.

The paper presents a method to discover new human gut viruses using enriched virome samples and reports over 162,000 novel viral sequences.

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

The paper develops a deep learning framework to prioritize novel drug targets and repositionable compounds for Alzheimer's disease using protein-protein interaction networks.

The paper identifies host factors critical for influenza virus replication by analyzing network positions of virus-host interactions and validates them through an siRNA screen.