Jun Sese

Akiko Izawa, Jun Sese: A tool for the coordinate transformation of next-generation sequencing reads for comparative genomics and transcriptomics. Source Code for Biology and Medicine 8: 6 (2013)

Mutsumi Fukuzaki, Masa-Aki Yoshida, Atsushi Ogura, Jun Sese: Systematic measurement of missmatch effect for designing inter-species microarray. BIBM 2012: 1-4

Rina Nakazawa, Takayuki Itoh, Jun Sese, Aika Terada: Integrated Visualization of Gene Network and Ontology Applying a Hierarchical Graph Visualization Technique. IV 2012: 81-86

Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad (Eds.): Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7632, Springer 2012, isbn 978-3-642-34122-9

Natsumi Abe, Jun Sese: Constructing an yeast Phenotypic Gene Network Using Morphological Inclusion Relations. International Journal on Artificial Intelligence Tools 19(3): 235-250 (2010)

Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese: Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Machine Learning 78(1-2): 35-61 (2010)

Jun Sese, Mio Seki, Mutsumi Fukuzaki: Mining networks with shared items. CIKM 2010: 1681-1684

Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese: Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph. PAKDD (2) 2010: 147-159

Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, Jun Sese: Mutual information estimation reveals global associations between stimuli and biological processes. BMC Bioinformatics 10(S-1) (2009)

Takayuki Itoh, Chris Muelder, Kwan-Liu Ma, Jun Sese: A hybrid space-filling and force-directed layout method for visualizing multiple-category graphs. PacificVis 2009: 121-128

Natsumi Abe, Jun Sese: Constructing Yeast Phenotypic Gene Network Using Morphological Inclusion Relations. BIBE 2009: 30-37

Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun Sese: Side Effect Prediction Using Cooperative Pathways. BIBM 2009: 142-147

Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori: Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation. Journal of Machine Learning Research - Proceedings Track 4: 5-20 (2008)

Mio Seki, Jun Sese: Identification of active biological networks and common expression conditions. BIBE 2008: 1-6

Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, Jun Sese: Semi-Supervised Local Fisher Discriminant Analysis for Dimensionality Reduction. PAKDD 2008: 333-344

Yasuhiro Kasai, Shin-ichi Hashimoto, Tomoyuki Yamada, Jun Sese, Sumio Sugano, Kouji Matsushima, Shinichi Morishita: 5'SAGE: 5'-end Serial Analysis of Gene Expression database. Nucleic Acids Research 33(Database-Issue): 550-552 (2005)

Taro L. Saito, Jun Sese, Yoichiro Nakatani, Fumi Sano, Masashi Yukawa, Yoshikazu Ohya, Shinichi Morishita: Data mining tools for the Saccharomyces cerevisiae morphological database. Nucleic Acids Research 33(Web-Server-Issue): 753-757 (2005)

Jun Sese, Yukinori Kurokawa, Morito Monden, Kikuya Kato, Shinichi Morishita: Constrained clusters of gene expression profiles with pathological features. Bioinformatics 20(17): 3137-3145 (2004)

Jun Sese, Shinichi Morishita: Itemset Classified Clustering. PKDD 2004: 398-409

Jie Cheng, Christor Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese: KDD Cup 2001 Report. SIGKDD Explorations 3(2): 47-64 (2002)

Jun Sese, Shinichi Morishita: Answering the Most Correlated N Association Rules Efficiently. PKDD 2002: 410-422

Jun Sese, Hitoshi Nikaidou, Shoko Kawamoto, Yuichi Minesaki, Shinichi Morishita, Kousaku Okubo: BodyMap incorporated PCR-based expression profiling data and a gene ranking system. Nucleic Acids Research 29(1): 156-158 (2001)

Shinichi Morishita, Jun Sese: Traversing Itemset Lattice with Statistical Metric Pruning. PODS 2000: 226-236

Junichi Akita, Jun Sese, Tochihide Saka, Masahiro Aono, Tomomi Kawarabayashi, Junji Nishino: Linked99. RoboCup 1999: 671-674