In diagnostic applications of statistical machine learning methods to brain imaging data, common problems include data high-dimensionality and co-linearity, which often cause over-fitting and instability. To overcome these problems, we applied par...
Kosuke Yoshida   Junichiro Yoshimoto   Kenji Doya   
BMC BIOINFORMATICS 18 2017年2月 [査読有り]
Background: Advance in high-throughput technologies in genomics, transcriptomics, and metabolomics has created demand for bioinformatics tools to integrate high-dimensional data from different sources. Canonical correlation analysis (CCA) is a sta...
Trends in pharmacological sciences 37(10) 858-871 2016年10月 [査読有り][招待有り]
Dopamine signaling in the brain is a complex phenomenon that strongly contributes to emotional behaviors. Medium spiny neurons (MSNs) play a major role in dopamine signaling through dopamine D1 receptors (D1Rs) or dopamine D2 receptors (D2Rs) in t...