Hiroshi Yadohisa

This paper introduces a trajectory inference method that integrates multiple omics data layers and handles unpaired datasets with non-overlapping measurements.

This study investigates how neural network structures influence self-organized criticality in the brain, finding that network topology affects critical state dynamics and abnormal activity patterns.

This study uses Tucker3 clustering on graph theoretical metrics to show that breath-counting meditation increases clustering coefficients in eight brain regions, indicating network density changes.