tsudalab.org

Tsuda Lab.

Welcome to Tsuda Lab, Department of Computational Biology and Medical Sciences. Graduate School of Frontier Sciences. At The University of Tokyo. Our area of research includes machine learning, data mining, statistical science and their applications to biology and related fields. We develop efficient and highly reliable data analysis algorithms for interdisciplinary applications. Tokyo Workshop on Statistically Sound Data Mining. We created a new website. Tsuda Lab. 2015.

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Koji Tsuda

Kash●●●●noha

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Koji Tsuda

Kash●●●●noha

Ka●●wa , none

JP

81.4●●●●3983

ko●●●●●●●●@gmail.com

View this contact

Koji Tsuda

Kash●●●●noha

Ka●●wa , none

JP

81.4●●●●3983

ko●●●●●●●●@gmail.com

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Tsuda Lab. | tsudalab.org Reviews

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Welcome to Tsuda Lab, Department of Computational Biology and Medical Sciences. Graduate School of Frontier Sciences. At The University of Tokyo. Our area of research includes machine learning, data mining, statistical science and their applications to biology and related fields. We develop efficient and highly reliable data analysis algorithms for interdisciplinary applications. Tokyo Workshop on Statistically Sound Data Mining. We created a new website. Tsuda Lab. 2015.

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Tsuda Lab. | tsudalab.org Reviews

https://tsudalab.org

Welcome to Tsuda Lab, Department of Computational Biology and Medical Sciences. Graduate School of Frontier Sciences. At The University of Tokyo. Our area of research includes machine learning, data mining, statistical science and their applications to biology and related fields. We develop efficient and highly reliable data analysis algorithms for interdisciplinary applications. Tokyo Workshop on Statistically Sound Data Mining. We created a new website. Tsuda Lab. 2015.

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tsudalab.org

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Tsuda Lab. - About

http://www.tsudalab.org/en/page/projects

Regularisation Path-Following Method for Discovering Interactions. We designed a Regularisation-path algorithm that uses patterns of input variables (itemsets) as covariates to fit a Cox Proportional Hazards regression model. Full description of method and algorithm published in Oxford Journal's Bioinformatics. Based on work by Park and Hastie (2006). L1 Regularization Path Algorithm for Generalized Linear Models. The entire source code (in R) for this project, can be found on a public GitHub repository.

2

Tsuda Lab. - Members

http://www.tsudalab.org/en/members

Tsuda Lab. 2016.

3

Tsuda Lab.

http://www.tsudalab.org/ja

Seminar Talk by Prof Atsuto Taneda. 12/17 15:00- Room 352. Seminar Talk by Prof Marco Cuturi. 11/24 15:00- Room 352. Collaboration Paper in Physical Review Letters. New paper about virtual screening for inorganic molecules is published. Dr Rupp's Visit. Dr Matthias Rupp (Fritz Haber Institute, Berlin) visited our lab and gave a seminar talk (Nov 11th). Tokyo Workshop on Statistically Sound Data Mining. We created a new website. Tsuda Lab. 2016.

4

Tsuda Lab: Tokyo Workshop on Statistically Sound Data Mining

http://www.tsudalab.org/en/news/view/id/2

Tokyo Workshop on Statistically Sound Data Mining. On the 16th of February, please join us for a Workshop on Statistically Sound Data Mining in Tokyo Odaiba. Tokyo Workshop on Statistically Sound Data Mining. Http:/ www.cbrc.jp/twsdm2015/. James Bailey University of Melbourne. Wilhelmiina Hamalainen (University of Eastern Finland. Felipe Llinares Lopez ETH Zurich. Mahito Sugiyama Osaka University. Geoff Webb Monash University. Tsuda Lab. 2016.

5

Tsuda Lab. - Lectures

http://www.tsudalab.org/en/lectures

Part3 and 4 講義資料. Tsuda Lab. 2016.

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