Nobuhisa Ueda

发表

ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains

Kiyoko F. Aoki-Kinoshita, Hiroshi Mamitsuka, Nobuhisa Ueda, 2006, ISMB.

Managing and analyzing carbohydrate data

Tatsuya Akutsu, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, 2004, SGMD.

Application of a new probabilistic model for recognizing complex patterns in glycans

Tatsuya Akutsu, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, 2004, ISMB/ECCB.

A Graphical Method for Parameter Learning of Symbolic-Statistical Models

Taisuke Sato, Yoshitaka Kameya, Nobuhisa Ueda, 1999, Discovery Science.

Inferring Strengths of Protein-Protein Interactions Using Linear Programming

Tatsuya Akutsu, Morihiro Hayashida, Nobuhisa Ueda, 2003 .

Simple Training Algorithm for Hierarchical Hidden Markov Models

Taisuke Sato, Nobuhisa Ueda, 2001 .

Comparison of SVM-Based Methods for Remote Homology Detection

Tatsuya Akutsu, Jean-Philippe Vert, Hiroto Saigo, 2002 .

Clustering under the line graph transformation: application to reaction network

Tatsuya Akutsu, Jose C. Nacher, Minoru Kanehisa, 2004, BMC Bioinformatics.

Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines

Tatsuya Akutsu, Jean-Philippe Vert, Pierre Mahé, 2005, J. Chem. Inf. Model..

Statistical Significance of Tree Similarity Scores

Tatsuya Akutsu, Atsuko Yamaguchi, Minoru Kanehisa, 2003 .

Efficient tree-matching methods for accurate carbohydrate database queries.

Tatsuya Akutsu, Atsuko Yamaguchi, Minoru Kanehisa, 2003, Genome informatics. International Conference on Genome Informatics.

Simplified training algorithm for hierarchical hidden Markov models

Taisuke Sato, Nobuhisa Ueda, 2004 .

A simple method for inferring strengths of protein-protein interactions.

Tatsuya Akutsu, Morihiro Hayashida, Nobuhisa Ueda, 2004, Genome informatics. International Conference on Genome Informatics.

KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains

Tatsuya Akutsu, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, 2004, Nucleic Acids Res..

Protein homology detection using string alignment kernels

Tatsuya Akutsu, Jean-Philippe Vert, Hiroto Saigo, 2004, Bioinform..

Pattern Classification with Chebychev Networks

Akira Namatame, Nobuhisa Ueda, 1991 .

A probabilistic model for mining labeled ordered trees: capturing patterns in carbohydrate sugar chains

Tatsuya Akutsu, Kiyoko F. Aoki-Kinoshita, Atsuko Yamaguchi, 2005, IEEE Transactions on Knowledge and Data Engineering.

Extensions of marginalized graph kernels

Tatsuya Akutsu, Jean-Philippe Vert, Pierre Mahé, 2004, ICML.

Simplified Training Algorithms for Hierarchical Hidden Markov Models

Taisuke Sato, Nobuhisa Ueda, Taisuke Sato, 2001, Discovery Science.

Inferring strengths of protein-protein interactions from experimental data using linear programming

Tatsuya Akutsu, Morihiro Hayashida, Nobuhisa Ueda, 2003, ECCB.

Protein Structure Analysis Using Continuous Density Hidden Markov Models

Tatsuya Akutsu, Morihiro Hayashida, Katsuhisa Horimoto, 2002 .

A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology

Kiyoko F. Aoki-Kinoshita, Hiroshi Mamitsuka, Nobuhisa Ueda, 2008, TKDD.

A General Probabilistic Framework for Mining Labeled Ordered Trees

Kiyoko F. Aoki-Kinoshita, Hiroshi Mamitsuka, Nobuhisa Ueda, 2004, SDM.

KEGG as a glycome informatics resource.

Kiyoko F. Aoki-Kinoshita, Susumu Goto, Minoru Kanehisa, 2006, Glycobiology.