Minoru Asogawa

A combination of a functional motif model and a structural motif model for a database validation

Akihiko Konagaya, Yukiko Fujiwara, Minoru Asogawa, 1995, Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences.

Adaptive Elastic Input Field for Recognition Improvement

Minoru Asogawa, 1994, NIPS.

Beta-Sheet Prediction Using Inter-Strand Residue Pairs and Refinement with Hopfield Neural Network

Minoru Asogawa, M. Asogawa, 1997, ISMB.

Parallel Characteristic Extraction from Protein Sequence Database

Akihiko Konagaya, Yukiko Fujiwara, Tsukasa Yamauchi, 2007 .

A connectionist production system which can perform both modus ponens and modus tollens simultaneously

Minoru Asogawa, 2000, Expert Syst. J. Knowl. Eng..

Drug Screening of GPCR Using Active Learning

Ryo Shimizu, Yukiko Fujiwara, Shun Doi, 2003 .

Stochastic Motif Extraction Using Hidden Markov Model

Akihiko Konagaya, Yukiko Fujiwara, Minoru Asogawa, 1994, ISMB.

Parallel tertiary structure search on the Cenju-S parallel machine

Minoru Asogawa, 1996, Proceedings Second International Symposium on Parallel Architectures, Algorithms, and Networks (I-SPAN'96).

Virtual Screening System for Finding Structurally Diverse Hits by Active Learning

Ryo Shimizu, Yukiko Fujiwara, Tsutomu Osoda, 2008, J. Chem. Inf. Model..

High performance computing for life science

Toshikazu Takada, Shun Doi, Tsutomu Osoda, 2003 .

BioCompass: A Novel Functional Inference Tool that Utilizes MeSH Hierarchy to Analyze Groups of Genes

Hideo Matsuda, Hironori Mizuguchi, Takeru Nakazato, 2008, Silico Biol..

Virtual Screening System for Finding Structurally Diverse Hits by Active Learning.

Yukiko Fujiwara, Yoshiko Yamashita, Tsutomu Osoda, 2008 .