Reiji Teramoto

发表

Inference of gene regulatory network based on module network model with gene functional classifications

Yoichi Takenaka, Hideo Matsuda, Kohei Taki, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

A Grid-based Information Integration System for Drug Discovery

Shinji Shimojo, Susumu Date, Hideo Matsuda, 2005, 21st International Conference on Data Engineering Workshops (ICDEW'05).

Estimating causal effects with a non-paranormal method for the design of efficient intervention experiments

Reiji Teramoto, Chiaki Saito, Shin-ichi Funahashi, 2014, BMC Bioinformatics.

Prediction of Alzheimer's diagnosis using semi-supervised distance metric learning with label propagation

Reiji Teramoto, 2008, Comput. Biol. Chem..

Hidden Active Information in a Random Compound Library: Extraction Using a Pseudo-Structure-Activity Relationship Model

Jiro Shimada, Reiji Teramoto, Hiroaki Fukunishi, 2008, J. Chem. Inf. Model..

P-quasi complete linkage analysis for gene-expression data

Shigeto Seno, Hideo Matsuda, Reiji Teramoto, 2002, Proceedings. IEEE Computer Society Bioinformatics Conference.

Supervised Scoring Models with Docked Ligand Conformations for Structure-Based Virtual Screening

Reiji Teramoto, Hiroaki Fukunishi, 2007, J. Chem. Inf. Model..

Structure-Based Virtual Screening with Supervised Consensus Scoring: Evaluation of Pose Prediction and Enrichment Factors

Reiji Teramoto, Hiroaki Fukunishi, H. Fukunishi, 2008, J. Chem. Inf. Model..

Transfer Learning for cytochrome P450 Isozyme Selectivity Prediction

Tsuyoshi Kato, Reiji Teramoto, Tsuyoshi Kato, 2011, J. Bioinform. Comput. Biol..

Supervised Consensus Scoring for Docking and Virtual Screening

Reiji Teramoto, Hiroaki Fukunishi, H. Fukunishi, 2007, J. Chem. Inf. Model..

Statistical Applications in Genetics and Molecular Biology Balanced Gradient Boosting from Imbalanced Data for Clinical Outcome Prediction

Reiji Teramoto, R. Teramoto, 2011 .

Bootstrap-Based Consensus Scoring Method for Protein-Ligand Docking

Jiro Shimada, Toshikazu Takada, Reiji Teramoto, 2008, J. Chem. Inf. Model..

Consensus Scoring with Feature Selection for Structure-Based Virtual Screening

Reiji Teramoto, Hiroaki Fukunishi, H. Fukunishi, 2008, J. Chem. Inf. Model..

An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes

Daisuke Kihara, Takashi Ishida, Masakazu Sekijima, 2017, Scientific Reports.

A method for clustering gene expression data based on graph structure.

Shigeto Seno, Yoichi Takenaka, Hideo Matsuda, 2004, Genome informatics. International Conference on Genome Informatics.

A unique gene expression signature discriminates familial Alzheimer's disease mutation carriers from their wild-type siblings

Reiji Teramoto, Bengt Winblad, Caroline Graff, 2005 .

Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target

Kun-Yi Hsin, Hiroaki Kitano, Y-h. Taguchi, 2015, Scientific Reports.

Hidden Active Information in a Random Compound Library: Extraction Using a Pseudo‐Structure—Activity Relationship Model.

Jiro Shimada, Reiji Teramoto, Hiroaki Fukunishi, 2008 .

Prediction of siRNA functionality using generalized string kernel and support vector machine

Reiji Teramoto, M. Kanaoka, Toru Kimura, 2005, FEBS letters.