Japanese / English
Mitsunori, Kayano, Ph.D.
Postdoctoral Fellow,Laboratory of pathway engineering (Mamitsuka Lab.)
Bioinformatics Center, Institute for Chemical Research, Kyoto University
Email: kayano at kuicr.kyoto-u.ac.jp
Last update: October 26, 2009
Research interests
Fields: Bioinformatics, Functional data analysis, Multivariate analysis, Machine learning
Key words: Functional principal component analysis, Functional cluster analysis, Principal component analysis, Cluster analysis, Mixed model,
Smoothing, Basis function, Spline, Kernel method, Regularization, EM algorithm, Model evaluation, Information criterion, Cross validation,
SNP, Microarray gene expression data, Genome-wide association study, Protein structure.
Membership of Academic Societies
Japanese Society for Bioinformatics (JSBi), Japanese Society of Applied Statistics (JSAS)
Academic Record
- April 2005 - March 2008:
Graduate School of Mathematics, Kyushu University (Degree: Doctor of Science)
- April 2003 - March 2005:
Graduate School of Mathematics, Kyushu University (Degree: Master of Science)
- April 2001 - March 2003:
Department of Mathematics, Undergraduate School, Kyushu University (Degree: Bachelor of Science)
Professional Record
- April 2008 - Present:
Postdoctoral Fellow,Laboratory of pathway engineering (Mamitsuka Lab.)
Bioinformatics Center, Institute for Chemical Research, Kyoto University
- August 2005 - March 2008:
Research Fellow of the Japan Society of the Promotion of Science (DC1,
Statistical Science)
Papers
- Efficiently finding genome-wide three-way gene interactions from
transcript- and genotype-data (2009)
M. Kayano, I. Takigawa, M. Shiga, K. Tsuda and H. Mamitsuka, Bioinformatics, 25(21):2735-2743 (doi:10.1093/bioinformatics/btp531).
- Sparse functional principal component analysis via regularized basis expansions and its application (2009)
M. Kayano and S. Konishi, MI Preprint Series, Kyushu University, MI2009-19 (Submitted for publication.)
- Functional principal component analysis via regularized Gaussian basis expansions and its application to unbalanced data (2009)
M. Kayano and S. Konishi, Journal of Statistical Planning and Inference, 139(7), 2388-2398 (doi:10.1016/j.jspi.2008.11.002).
- Functional cluster analysis via orthonormalized Gaussian basis expansions and its application (2007)
M. Kayano, K. Dozono and S. Konishi, MHF Preprint Series, Kyushu University, MHF2007-19 (Submitted for publication.)
- Functional principal component analysis via regularized basis expansions and its application (2006, in Japanese with English abstract)
M. Kayano, S. Konishi, H. Hirakawa and S. Kuhara, Japanese Journal of Applied Statistics, 35(1), 1-16.
(The Winners of Japanese Society of Applied Statistics (JSAS) Prize)
Presentations ( international conference, *: presenter)
- Association of SNPs with multiple genes using a nonlinear regression model.
M. Kayano*, I. Takigawa, M. Shiga, K. Tsuda and H. Mamitsuka, The 2008 Annual Conference of the Japanese Society for Bioinformatics (JSBi2008) ,
Osaka, Senri Life Science Center, December 2008 (poster presentation, P049).
- Principal component analysis for sparse functional data via regularized basis expansions.
M. Kayano* and S. Konishi, The 56th Session of the International Statistical Institute (ISI) 2007, Lisbon, Lisboa Congress Centre, August 2007
(oral presentation).
- Regularized functional regression modeling for functional response and predictors.
H. Matsui*, S. Kawano, M. Kayano and S. Konishi, The 56th Session of the International Statistical Institute (ISI) 2007, Lisbon, Lisboa Congress Centre,
August 2007 (oral presentation).
- Functional principal component analysis via regularized basis expansions
and its application to protein structural data.
M. Kayano* and S. Konishi, The13th International Biometric Conference (IBC) 2006, Montreal, McGill University, July 2006 (poster presentation).
- Functional principal component analysis via regularized basis expansions
and its application.
M. Kayano* and S. Konishi, The 12th International Conference on Statistics, Combinatorics, Mathematics
and Application (SCMA) 2005, Auburn,
Auburn University, December 2005 (oral presentation).
Presentations in Japanese See here.
Theses
- Functional data analysis via regularized basis expansions and its applications
(2008)
M. Kayano, Doctoral thesis, Kyushu University
- Functional principal component analysis via regularized basis expansion
(2005, in Japanese)
M. Kayano, Master thesis, Kyushu University
Others
[
Pathway Engineering Laboratory |
Bioinformatics Center |
Institute for Chemical Research |
Kyoto University
]