Experience
Education
Bio
Assistant Professor, Bio-Knowledge Engineering Research Laboratory (Mamitsuka Laboratory), Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan. Assistant Professor, Laboratory of Computational Genomics, Division of Bioinformatics and Chemical Genomics, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida-Shimo-Adachi-cho, Sakyo-ku, Kyoto 606-8501, Japan. Research Interests Probabilistic pattern pecognition, Statistical signal processing, Mathematical optimization, Compressed sensing, Statistical/computational learning theory, Probabilities on discrete/combinatorial structures, Random structures, Structural pattern enumeration. Complex molecular interactions, Computational genomics/genetics, Mathematical biology, Chemical genomics, and Pharmacogenomics. Selected Publications M. Kayano, I. Takigawa, M. Shiga, K. Tsuda and H. Mamitsuka, ROS-DET: robust detector of switching mechanisms in gene expression. Nucleic Acids Research, 39(11), pp. e74, 2011. I. Takigawa, K. Tsuda and H. Mamitsuka, Mining significant substructure pairs for interpreting polypharmacology in drug-target network. PLoS ONE, 6(2), pp. e16999, 2011. I. Takigawa and H. Mamitsuka, Efficiently mining delta-tolerance closed frequent subgraphs. Machine Learning, 82(2), pp. 95-121, 2010. M. Shiga, I. Takigawa and H. Mamitsuka, A spectral approach to clustering numerical vectors as nodes in network. Pattern Recognition, 44(2), pp. 236-251, 2011. T. Hancock, I. Takigawa and H. Mamitsuka, Mining metabolic pathways through gene expression. Bioinformatics, 26(17), pp. 2128-2135, 2010. I. Takigawa, M. Kudo and A. Nakamura, Convex sets as protopypes for classifying patterns. Engineering Applications of Artificial Intelligence, 22(1), pp. 101-108, 2009. M. Kayano, I. Takigawa, M. Shiga, K. Tsuda and H. Mamitsuka, Efficiently finding genome-wide three-way gene interactions from transcript- and genotype-data. Bioinformatics, 25(21), pp. 2735-2743, 2009. S. Zhu, I. Takigawa, J. Zeng and H. Mamitsuka, Field Independent Probabilistic Model for Clustering Multi-Field Documents. Information Processing and Management, 45(5), pp. 555-570, 2009. I. Takigawa and H. Mamitsuka, Probabilistic path ranking based on adjacent pairwise coexpression for metabolic transcripts analysis. Bioinformatics, 24(2), pp. 250-257, 2008. K. Hashimoto*, I. Takigawa*, M. Shiga, M. Kanehisa and H. Mamitsuka, Mining significant tree patterns in carbohydrate sugar chains. Bioinformatics, 24(16), pp. i167-i173, 2008. (*equally contributed) (Proc. of ECCB 2008) M. Shiga, I. Takigawa and H. Mamitsuka, A Spectral clustering approach to optimally combining numerical vectors with a modular network. Proc. of KDD 2007, pp. 647-656, 2007. M. Shiga, I. Takigawa and H. Mamitsuka, Annotating gene function by combining expression data with a modular gene network. Bioinformatics, 23(13), pp. i468-i478, 2007. (Proc. of ISMB 2007) I. Takigawa, M. Kudo and J. Toyama, Performance analysis of minimum L1-norm solutions for underdetermined source separation, IEEE Transactions on Signal Processing, 52(3), pp. 582-591, 2004. A. Tanaka, I. Takigawa, H. Imai, M. Kudo and M. Miyakoshi, Projection learning based kernel machine design using series of monotone increasing reproducing kernel Hilbert spaces, Proc. of KES 2004, LNCS-3213, pp. 1058-1064, 2004. I. Takigawa, M. Kudo, A. Nakamura and J. Toyama, On the minimum L1-norm signal recovery in underdetermined source separation, Proc. of ICA 2004, LNCS-3195, pp. 193-200, 2004.