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Shuichi Hirose
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2020 – today
- 2020
- [c3]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:
Molecular Inverse-Design Platform for Material Industries. KDD 2020: 2961-2969 - [i3]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:
Molecular Inverse-Design Platform for Material Industries. CoRR abs/2004.11521 (2020)
2010 – 2019
- 2019
- [i2]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:
An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries. CoRR abs/1907.08400 (2019) - 2011
- [c2]Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda:
LGM: Mining Frequent Subgraphs from Linear Graphs. PAKDD (2) 2011: 26-37 - [i1]Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda:
LGM: Mining Frequent Subgraphs from Linear Graphs. CoRR abs/1102.4480 (2011) - 2010
- [j4]Shuichi Hirose, Kana Shimizu, Tamotsu Noguchi:
POODLE-I: Disordered Region Prediction by Integrating POODLE Series and Structural Information Predictors Based on a Workflow Approach. Silico Biol. 10(3-4): 185-191 (2010)
2000 – 2009
- 2007
- [j3]Shuichi Hirose, Kana Shimizu, Satoru Kanai, Yutaka Kuroda, Tamotsu Noguchi:
POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions. Bioinform. 23(16): 2046-2053 (2007) - [j2]Kana Shimizu, Shuichi Hirose, Tamotsu Noguchi:
POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix. Bioinform. 23(17): 2337-2338 (2007) - [j1]Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Kentaro Tomii, Tamotsu Noguchi:
Predicting mostly disordered proteins by using structure-unknown protein data. BMC Bioinform. 8 (2007) - 2005
- [c1]Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Tamotsu Noguchi:
Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder. CIBCB 2005: 262-267
Coauthor Index
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