Unsupervised Feature Extraction Applied to Bioinformatics

Prof. Taguchi is currently a Professor at Department of Physics, Chuo University. Prof. Taguchi received a master degree in Statistical Physics from Tokyo Institute of Technology, Japan in 1986, and PhD degree in Non-linear Physics from Tokyo Institute of Technology, Tokyo, Japan in 1988. He worked at Tokyo Institute of Technology and Chuo University. He is with Chuo University (Tokyo, Japan) since 1997. He currently holds the Professor position at this university. His main research interests are in the area of Bioinformatics, especially, multi-omics data analysis using linear algebra. Dr. Taguchi has published a book on bioinformatics, more than 150 journal papers, book chapters and papers in conference proceedings and was recognized as top 2% scientist of the world in 3rd consecutive years (2021, 2022, 2023) according to analysis of Stanford University, USA and report of Elsevier in bioinformatics.

• Introduction to linear algebra.- Matrix factorization.- Tensor decompositions.- PCA based unsupervised FE.- TD based unsupervised FE.- Application of PCA based unsupervised FE to bioinformatics.- Application of TD based unsupervised FE to bioinformatics.- Theoretical investigation of TD and PCA based unsupervised FE.