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Committee Date Time Place Paper Title / Authors Abstract Paper #
Tokyo Tamagawa University A Study on Path Following of Label-Permuted Solution for Support Vector Machine and its Application for Microarray Data Analysis
Yuta Ishikawa, Kouta Isobe, Ichiro Takeuchi (Nagoya Inst. of Tech.) NC2009-132
Microarray technology enables us to measure expression levels of thousands of genes simultaneously.The fundamental task ... [more] NC2009-132
NC 2007-06-14
Okinawa OIST Seaside House A Study on Significance Analysis of Gene Sets Using Nearest-Neighbor Classification Error
Ichiro Takeuchi, Shintaro Hayashi (Mie Univ.), Miyuki Suguro, Masao Seto (Aichi Cancer Center) NC2007-13
Relating gene expression profiles from microarray experiments with biological knowledge databases is an important step f... [more] NC2007-13
NC 2006-06-15
Okinawa OIST Drug-response prediction from microarray data using network-based de-noising
Tsuyoshi Kato (Univ. of Tokyo), Koh Miura, Yukio Murata (Tohoku Univ.), Kiyoshi Asai (Univ. of Tokyo), Paul B. Horton, Wataru Fujibuchi, Koji Tsuda (AIST)
Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to... [more] NC2006-16
NC 2006-06-15
Okinawa OIST *
Takeo Okazaki, Madoka Kamiya, , Morikazu Nakamura (yukyu Univ.)
DNA Microarray data, which are efficient for estimation and identification of genetic network, have a large variation du... [more] NC2006-17
NLP 2005-11-18
Fukuoka Kyushu Institute of Technology A Selection Criterion for Robust Classifiers by Considering the Variance of Test Performance
Ikumi Suzuki, Shigeyuki Oba, Junichiro Hirayama, Shin Ishii (NAIST)
In classification problems with gene expression profiles emerged from clinical field, we usually compare performances of... [more] NLP2005-66
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