Shuichi Hirose

According to our database, Shuichi Hirose authored at least 8 papers between 2005 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Molecular Inverse-Design Platform for Material Industries.

Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries.

Matteo Manica, Christoph Auer, Valéry Weber, Federico Zipoli, Michele Dolfi, Peter W. J. Staar, Teodoro Laino, Costas Bekas, Akihiro Fujita, Hiroki Toda, Shuichi Hirose, Yasumitsu Orii

CoRR, 2019

2011

LGM: Mining Frequent Subgraphs from Linear Graphs.

Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010

POODLE-I: Disordered Region Prediction by Integrating POODLE Series and Structural Information Predictors Based on a Workflow Approach.

Shuichi Hirose, Kana Shimizu, Tamotsu Noguchi

Silico Biol., 2010

2007

Predicting mostly disordered proteins by using structure-unknown protein data.

Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Kentaro Tomii, Tamotsu Noguchi

BMC Bioinform., 2007

POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.

Kana Shimizu, Shuichi Hirose, Tamotsu Noguchi

Bioinform., 2007

POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions.

Shuichi Hirose, Kana Shimizu, Satoru Kanai, Yutaka Kuroda, Tamotsu Noguchi

Bioinform., 2007

2005

Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder.

Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Tamotsu Noguchi

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005