Jun Sese | Home Page

Publications

International Journal/Conference Papers

  1. Jun Sese, Mio Seki, and Mutsumi Fukuzaki. Mining networks with shared items. The 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp.xx–xx, Tronto, Canada. Oct. 26-30, 2010.
  2. Atsushi Ogura, Masaaki Yoshida, Mutsumi Fukuzaki, and Jun Sese. In vitro homology search array comprehensively reveals highly conserved genes and their functional characteristics in non-genome sequenced species. International Conference on Bioinformatics 2010 (InCoB 2010), pp.xx–xx, Tokyo, Japan. Sept. 26-28, 2010.
  3. Natsumi Abe and Jun Sese. Constructing a yeast phenotypic gene network using morphological inclusion relations. International Journal on Artificial Intelligence Tools, Vol. 19, No. 3, pp. 235-250, 2010.
  4. Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, and Jun Sese. Finding itemset-sharing patterns in a large itemset-associated graph. The 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), pp.147–159, Hyderabad, India, June. 21-24, 2010.
  5. Seiji Saito, Kazuki Ohno, Kanako Sugawara, Jun Sese, and Hitoshi Sakuraba.
    Prediction of the clinical phenotype of Fabry disease based on protein
    sequential and structural information    . Journal of Human Genetics, Vol.55, pp.175–178, 2010.
  6. Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, and Jun Sese. Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Machine Learning, Vol. 78, No. 1–2, pp. 35–62, 2010.
  7. Aika Terada and Jun Sese. Discovering large network motifs from a complex biological network. Journal of Physics: Conference Series. 012011, vol. 197, 2009.
  8. Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, and Jun Sese. Side effect prediction using cooperative pathways. IEEE International Conference on Bioinformatics and Biomedicine 2009 (IEEE BIBM 2009), pp.142–147, Washington D.C., USA, Nov. 1-4, 2009.
  9. Masashi Sugiyama, Takafumi Kanamori, Taiji Suguki, Shohei Hido, Jun Sese, Ichiro Takeuchi, and Liewi Wang. A density-ratio framework for statistical data processing.  IPSJ Transactions on Computer Vision and Applications, pages 183–208, Vol. 1, 2009.
  10. Natsumi Abe and Jun Sese. Uncovering an Yeast Phenotypic Gene Network Using Morphological Inclusion Relations. 9th IEEE International Conference on BioInformatics and BioEngineering (BIBE2009), pp.30–37, Taichung, Taiwan, June. 22-24, 2009.
  11. Takayuki Itoh, Chris Muelder, Kwan-Liu Ma, and Jun Sese. A Hybrid Space-Filling and Force-Directed Layout Method for Visualizing Multiple-Category Graphs. IEEE Pacific Visualization Symposium 2009, pp.121–128, Beijing, China, Apr. 20-23, 2009
  12. Taiji Suzuki, Masashi Sugiyama, Takafumi Kanamori, and Jun Sese. Mutual information estimation reveals global associations between stimuli and biological process. BMC Bioinformatics 2009, 10(Suppl 1):S52 (The Seventh Asia Pacific Bioinformatics Conference (APBC 2009), pp. 297-309, Beijing, China, Jan. 13-16, 2009).
  13. Mio Seki and Jun Sese. Identification of active biological networks and common expression conditions. 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE2008), Athens, Greece, Oct. 8-10, 2008.
  14. Eriko Muzutani and Jun Sese. GOMA: Web utility for direct finding of enriched gene ontology terms from gene expression profile. 8th IEEE International Conference on BioInformatics and BioEngineering (BIBE2008), Athens, Greece, Oct. 8-10, 2008.
  15. Taiji Suzuki, Masashi Sugiyama, Jun Sese, and Takafumi Kanamori. Approximating mutual information by maximum likelihood density ratio estimation. In Proceedings of the 3rd workshop on new challenges for feature selection in data mining and knowledge discovery (FSDM2008), JMLR workshop and conference proceedings, Vol. 4, pp.5–20, 2008.
  16. Taiji Suzuki, Masashi Sugiyama, Jun Sese, and Takafumi Kanamori. A least-squares approach to mutual information estimation with application in variable selection. Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discoverty 2008 (FSDM2008), Antwerp, Belgium, Sep. 15, 2008.
  17. Masashi Sugiyama, Tsuyoshi Idé, Shinichi Nakajima, and Jun Sese. Semi-supervised local Fisher discriminant analysis for dimensionality reduction. the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008)
  18. Fumihito Miura, Noriko Kawaguchi, Jun Sese, Atsushi Toyoda , Masahira Hattori, Shinichi Morishita, and Takashi Ito. A large-scale full-length cDNA analysis to explore the budding yeast transcriptome. Proc. Nat. Acad. Sci., Vol. 103. No.47. pp 17846–17851, November 21, 2006
  19. Mariko Taniguchi, Hiroki Kurahashi, Satoru Noguchi, Jun Sese, Takeshi Okinaga, Toshifumi Tsukahara, Pascale Guicheney, Keiichi Ozono, Ichizo Nishino, ShinichiMorishita and Tatsushi Toda. Expression profiling of muscles from Fukuyama-type congenital muscular dystrophy and laminin-deficient congenital muscular dystrophy; is congenital muscular dystrophy a primary fibrotic disease? BBRC(Biochemical and Biophysical Research Communications), 2006 Apr. 7; 342(2): 489-502
  20. Genjiro Suzuki, Hiroshi Sawai, Miwaka Ohtani, Satoru Nogami, Fumi Sano-Kumagai, Ayaka Saka, Masashi Yukawa, Taro L. Saito, Jun Sese, Dai Hirata, Shinichi Morishita and Yoshikazu Ohya. Evaluation of image processing programs for accurate measurement of budding and fission yeast morphology. Current Genetics. 2006 Jan 6
  21. Yoshikazu Ohya, Jun Sese, Masashi Yukawa, Fumi Sano, Yoichiro Nakatani, Taro L. Saito, Ayaka Saka, Tomoyuki Fukuda, Satoru Ishihara, Satomi Oka, Genjiro Suzuki, Machika Watanabe, Aiko Hirata, Miwaka Ohtani, Hiroshi Sawai, Nicolas Fraysse, Jean-Paul Latge, Jean M. Francois, Markus Aebi, Seiji Tanaka, Sachiko Muramatsu, Hiroyuki Araki, Kintake Sonoike, Satoru Nogami, and Shinichi Morishita. High-dimensional and large-scale phenotyping of yeast mutants. Proc. Natl. Acad. Sci. Vol. 102. No. 52. 19015-19020. 2005
  22. Taro Saito, Jun Sese, Yoichiro Nakatani, Fumi Sano, Masashi Yukawa, Yoshikazu Ohya, Shinichi Morishita. Data Mining Tools for Saccharomyces Cerevisiae Morphological Database. Nucleic Acids Res. Web Server Issue 2005. 33: W753-W757.
  23. Yasuhiko Kasai, Sihn-ichi Hashimoto, Tomoyuki Yamada, Jun Sese, Sumio Sugano, Kouji Matsushima, Shinichi Morishita. 5′SAGE: 5′-end Serial Analysis of Gene Expression database. Nucleic Acids Res. Vol 33. D550-D552, 2005.
  24. Shin-ichi Hashimoto, Yutaka Suzuki, Yasuhiro Kasai, Kei Morohoshi, Tomoyuki Yamada, Jun Sese, Shinichi Morishita, Sumio Sugano, Kouji Matsushima. 5′-end SAGE for the analysis of transcriptional start sites. Nature Biotechnology vol. 22, 1146 – 1149, 2004.
  25. Jun Sese, Yukinori Kurokawa, Morito Monden, Kikuya Kato and Shinichi Morishita. Constrained Clusters of Gene Expression Profiles with Pathological Features, Bioinformatics, Vol20, pp 3137-3145, Nov. 2004.
  26. Jun Sese and Shinichi Morishita. Itemset Classified Clustering. Proc of 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’04), pp. 398-409
  27. Shin-ichi Hashimoto, Shigenori Nagai, Jun Sese, Takuji Suzuki, Aya Obata, Taku Sato, Nobuaki Toyoda, Hong-Yan Dong, Makoto Kurachi, Tomoyuki Nagahata, Ken-ichi Shizuno, Shinichi Morishita, and Kouji Matsushima; Gene expression profile in human leukocytes Blood, May 2003; 101: 3509 – 3513.
  28. Suzuki Y, Taira H, Tsunoda T, Mizushima-Sugano J, Sese J, Hata H, Ota T, Isogai T, Tanaka T, Morishita S, Okubo K, Sakaki Y, Nakamura Y, Suyama A, Sugano S. Diverse transcriptional initiation revealed by fine, large-scale mapping of mRNA start sites. EMBO Rep. 2001 May;2(5):388-93.
  29. Yutaka Suzuki, Tatsuhiko Tsunoda, Jun Sese, Hirotoshi Taira, Junko Mizushima-Sugano, Hiroko Hata, Toshio Ota, Takao Isogai, Toshihiro Tanaka, Yusuke Nakamura, Akira Suyama, Yoshiyuki Sakaki, Shinichi Morishita, Kousaku Okubo, and Sumio Sugano. Identification and Characterization of the Potential Promoter Regions of 1031 Kinds of Human Genes. Genome Research, 2001, 11: 677-684.
  30. Jun Sese and Shinichi Morishita. Answering the Most Correlated N Association Rules Efficiently. Proc. of 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’02), Helsinki, Finland, August 19-23, 2002, pp. 410-422.
  31. Jie Cheng, Christos Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita , David Page, and Jun Sese. KDD Cup 2001 Report. ACM SIGKDD Explorations, Volume 3, Issue 2, Janurary 2002, pp. 47-64.
  32. Junichi Akita, Jun Sese. Fast Homology Search Architecture for Recognizing Genome Function, Proceedings of 5th World Multiconference on Systemics, Cybernetics and Informatics(SCI2001), Vol.VI, Part I, pp.6–9, 2001.7.
  33. Shinichi Morishita and Jun Sese. Traversing Itemset Lattices with Statistical Metric Pruning. Proc. of ACM SIGACT-SIGMOD-SIGART Symp. on Database Systems (PODS), pp.226-236, May 2000.
  34. Jun Sese, Hitoshi Nikaidou, Shoko Kawamoto, Yuichi Minesaki, Shinichi Morishita, and Kousaku Okubo. BodyMap incorporated PCR-based expression profiling data and a gene ranking system. Nucleic Acids Res. 2001 29: 156-158.
  35. Shoko Kawamoto, Junji Yoshii, Katsuya Mizuno, Kouichi Ito, Yasuhide Miyamoto, Tadashi Ohnishi, Ryo Matoba, Naohiro Hori, Yuhiko Matsumoto, Toshiyuki Okumura, Yuko Nakao, Hisae Yoshii, Junko Arimoto, Hiroko Ohashi, Hiroko Nakanishi, Ikko Ohno, Jun Hashimoto, Kota Shimizu, Kazuhisa Maeda, Hiroshi Kuriyama, Koji Nishida, Akiyo Shimizu-Matsumoto, Wakako Adachi, Reiko Ito, Satoshi Kawasaki, K.S. Chae, Katsuji Murakawa, Masahiro Yokoyama, Atsushi Fukushima, Teruyoshi Hishiki, Akihiko Nakaya, Jun Sese, Norikazu Monma, Hitoshi Nikaido, Shinichi Morishita, Kenichi Matsubara, and Kousaku Okubo. BodyMap: A Collection of 3′ ESTs for Analysis of Human Gene Expression Information. Genome Research, 2000, 10: 1817-1827.
Domestic book, journal and conference papers (selected)

  1. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi and Liwei Wang. Direct Importance Estimation — A New Versatile Tool for Statistical Pattern Recognition. MIRU2008 (第11回　画像の認識・理解シンポジウム), 軽井沢, 2008. [優秀論文賞]
  2. 瀬々 潤.非階層型クラスタリング—k-平均法、自己組織化マップ(マイクロアレイデータ統計解析プロトコール, 藤淵航, 堀本勝久編. pp 159–167, 2008/5)
  3. 瀬々 潤，池村 淑道. ライフサイエンスにおけるデータベース構築のための人材育成．蛋白質 核酸 酵素. 2008年1月号．pp 87–93.
  4. 瀬々 潤. 遺伝子間の関連を洗い出すバイオデータマイニング. 月刊DBマガジン．2007年7月号. pp 122–123
This page is maintained by Jun Sese (sesejun_at_is.ocha.ac.jp).

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