Takashi Okada

The paper develops a method to infer directional migration rates from ancient DNA data using time-dependent F2 statistics, revealing an ancient pan-European migration network.

The paper introduces a method to identify indicator molecules in biochemical reaction networks that can distinguish between multiple steady states without kinetic parameters.

BayesianSSA integrates environmental information from perturbation data into structural sensitivity analysis to predict enzyme perturbation responses in metabolic networks.

The paper develops an algorithm to identify buffering structures in chemical reaction networks by leveraging an inverse theorem of the law of localization, enabling efficient detection of modular regulatory units.

This study shows that CaMKIIβ phosphorylation regulates sleep duration and steps in mammals by modulating kinase activity in excitatory neurons.