Takeshi Hase

This paper introduces a neural network embedding method to compress and interpret functional connectivities in mouse brain data, showing improved interpretability with combined automated and metric-based analysis.

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

This paper identifies 24 potential antiviral drug targets by analyzing the controllability of host and influenza virus-host protein interaction networks.