l2 Performance Synthesis via Polynomial Parameter-Dependent Switching State Feedback Control for Constrained Systems. - Tsuyoshi Kiyama; Takanori Hasegawa (ISIC, 2007)

Poster: Comprehensive pharmacogenomic pathway screening by data assimilation. - Takanori Hasegawa; Rui Yamaguchi; Masao Nagasaki; Seiya Imoto; Satoru Miyano (ICCABS, 2011)

Comprehensive Pharmacogenomic Pathway Screening by Data Assimilation. - Takanori Hasegawa; Rui Yamaguchi; Masao Nagasaki; Seiya Imoto; Satoru Miyano (ISBRA, 2011)

An efficient method of exploring simulation models by assimilating literature and biological observational data. - Takanori Hasegawa; Masao Nagasaki; Rui Yamaguchi; Seiya Imoto; Satoru Miyano (Biosyst., 2014)

An Efficient Data Assimilation Schema for Restoration and Extension of Gene Regulatory Networks Using Time-Course Observation Data. - Takanori Hasegawa; Tomoya Mori; Rui Yamaguchi; Seiya Imoto; Satoru Miyano; Tatsuya Akutsu (J. Comput. Biol., 2014)

Binary Contingency Table Method for Analyzing Gene Mutation in Cancer Genome. - Emi Ayada; Atsushi Niida; Takanori Hasegawa; Satoru Miyano; Seiya Imoto (ISBRA, 2015)

Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks. - Takanori Hasegawa; Tomoya Mori; Rui Yamaguchi; Teppei Shimamura; Satoru Miyano; Seiya Imoto; Tatsuya Akutsu (BMC Syst. Biol., 2015)

Reconstructing Biological Systems Incorporating Multi-Source Biological Data via Data Assimilation Techniques. - Takanori Hasegawa (2015)

A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models. - Takanori Hasegawa; Atsushi Niida; Tomoya Mori; Teppei Shimamura; Rui Yamaguchi; Satoru Miyano; Tatsuya Akutsu; Seiya Imoto (Comput. Stat. Data Anal., 2016)

Binary contingency table method for analysing gene mutation in cancer genome. - Emi Ayada; Takanori Hasegawa; Atsushi Niida; Satoru Miyano; Seiya Imoto (Int. J. Bioinform. Res. Appl., 2016)

Tandem Connectionist Anomaly Detection: Use of Faulty Vibration Signals in Feature Representation Learning. - Takanori Hasegawa; Jun Ogata; Masahiro Murakawa; Tetsuji Ogawa (ICPHM, 2018)

Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation. - Takanori Hasegawa; Kaname Kojima; Yosuke Kawai; Masao Nagasaki (IEEE Trans. Signal Process., 2018)

Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. - Takanori Hasegawa; Shuto Hayashi; Eigo Shimizu; Shinichi Mizuno; Atsushi Niida; Rui Yamaguchi; Satoru Miyano; Hidewaki Nakagawa; Seiya Imoto (Bioinform., 2020)

Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. - Takanori Hasegawa; Rui Yamaguchi; Atsushi Niida; Satoru Miyano; Seiya Imoto (J. Frankl. Inst., 2020)