Tatsuya Akutsu

This study evaluates microconnectomes across 16 cortical regions, finding unique characteristics in the frontal group that may explain its role in generating global brain activity patterns.

The paper introduces a method to detect gene communities and identify mutually exclusive gene pairs from sparse scRNA-seq data, showing improved sensitivity in capturing cellular heterogeneity.

The paper shows inhibitory neurons have central positions and stronger control in cortical microconnectomes, maintaining brain activity balance.

This paper applies network controllability theory to study how HIV-1 and HCV infections control host cell networks by targeting critical nodes more efficiently than uninfected states.

The paper proves that controlling Boolean networks to attractors requires O(log2 N + log2 M) driver nodes, improving upon previous O(N) estimates.

The paper presents a matrix factorization approach for protease target prediction that integrates diverse biological data and outperforms existing methods.