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2020 – today
- 2023
[j33]Kengo Sato
, Michiaki Hamada:
Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery. Briefings Bioinform. 24(4) (2023)- 2022
- [j32]Kengo Sato, Yuki Kato:
Prediction of RNA secondary structure including pseudoknots for long sequences. Briefings Bioinform. 23(1) (2022) - [j31]Soichiro Nishiyama, Kengo Sato, Ryutaro Tao:
Integer programming for selecting set of informative markers in paternity inference. BMC Bioinform. 23(1): 265 (2022) - [c13]Kengo Sato, Hiroki Terashima, Shin'ya Nishida, Yoshihiro Watanabe:
E.S.P.: Extra-Sensory Puck in Air Hockey using the Projection-Based Illusion. SIGGRAPH ASIA Emerging Technologies 2022: 3:1-3:2 - 2021
- [j30]Tomoo Inubushi, Masanori Ito, Yutaro Mori, Masami Futatsubashi, Kengo Sato, Shigeru Ito, Masamichi Yokokura, Tomomi Shinke, Yosuke Kameno, Akihiro Kakimoto, Toshihiko Kanno, Hiroyuki Okada, Yasuomi Ouchi, Etsuji Yoshikawa:
Neural correlates of head restraint: Unsolicited neuronal activation and dopamine release. NeuroImage 224: 117434 (2021)
2010 – 2019
- 2018
- [j29]Maya Hirohara, Yutaka Saito, Yuki Koda, Kengo Sato, Yasubumi Sakakibara:
Convolutional neural network based on SMILES representation of compounds for detecting chemical motif. BMC Bioinform. 19-S(19): 83-94 (2018) - [j28]Jinyan Li, Kenta Nakai, Yun Zheng, Kengo Sato, Limsoon Wong:
Introduction to Selected Papers from GIW2018. J. Bioinform. Comput. Biol. 16(6): 1802005:1-1802005:2 (2018) - [j27]Manato Akiyama, Kengo Sato, Yasubumi Sakakibara:
A max-margin training of RNA secondary structure prediction integrated with the thermodynamic model. J. Bioinform. Comput. Biol. 16(6): 1840025:1-1840025:15 (2018) - 2017
- [j26]Yuki Kato, Tomoya Mori, Kengo Sato, Shingo Maegawa, Hiroshi Hosokawa, Tatsuya Akutsu:
An accessibility-incorporated method for accurate prediction of RNA-RNA interactions from sequence data. Bioinform. 33(2): 202-209 (2017) - 2016
- [j25]Mariko Tsuchiya, Kojiro Amano, Masaya Abe, Misato Seki, Sumitaka Hase, Kengo Sato, Yasubumi Sakakibara:
SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing. Bioinform. 32(12): 369-377 (2016) - [j24]Michiaki Hamada, Yukiteru Ono, Hisanori Kiryu, Kengo Sato, Yuki Kato, Tsukasa Fukunaga, Ryota Mori, Kiyoshi Asai:
Rtools: a web server for various secondary structural analyses on single RNA sequences. Nucleic Acids Res. 44(Webserver-Issue): W302-W307 (2016) - 2015
- [j23]Shotaro Kumozaki, Kengo Sato, Yasubumi Sakakibara:
A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1267-1274 (2015) - 2013
- [c12]Toyotaro Tokimoto, Kengo Sato, Shiro Suyama, Hirotsugu Yamamoto:
High-frame-rate LED display with pulse-width modulation by use of nonlinear clock. GCCE 2013: 83-84 - 2012
- [j22]Yasubumi Sakakibara, Tsuyoshi Hachiya, Miho Uchida, Nobuyoshi Nagamine, Yohei Sugawara, Masahiro Yokota, Masaomi Nakamura, Kris Popendorf, Takashi Komori, Kengo Sato:
COPICAT: a software system for predicting interactions between proteins and chemical compounds. Bioinform. 28(5): 745-746 (2012) - [j21]Kengo Sato, Yuki Kato, Tatsuya Akutsu, Kiyoshi Asai, Yasubumi Sakakibara:
DAFS: simultaneous aligning and folding of RNA sequences via dual decomposition. Bioinform. 28(24): 3218-3224 (2012) - [j20]Masaomi Nakamura, Tsuyoshi Hachiya, Yutaka Saito, Kengo Sato, Yasubumi Sakakibara:
An efficient algorithm for de novo predictions of biochemical pathways between chemical compounds. BMC Bioinform. 13(S-17): S8 (2012) - [j19]Yuki Kato, Kengo Sato, Kiyoshi Asai, Tatsuya Akutsu:
Rtips: fast and accurate tools for RNA 2D structure prediction using integer programming. Nucleic Acids Res. 40(Web-Server-Issue): 29-34 (2012) - [j18]Takuya Watanabe, Kengo Sato, Fumiko Itoh, Kohei Wakabayashi, Masayoshi Shichiri, Tsutomu Hirano:
Endogenous Bioactive Peptides as Potential Biomarkers for Atherosclerotic Coronary Heart Disease. Sensors 12(4): 4974-4985 (2012) - 2011
- [j17]Kengo Sato, Yuki Kato, Michiaki Hamada, Tatsuya Akutsu, Kiyoshi Asai:
IPknot: fast and accurate prediction of RNA secondary structures with pseudoknots using integer programming. Bioinform. 27(13): 85-93 (2011) - [j16]Yutaka Saito, Kengo Sato, Yasubumi Sakakibara:
Fast and accurate clustering of noncoding RNAs using ensembles of sequence alignments and secondary structures. BMC Bioinform. 12(S-1): S48 (2011) - [j15]Unyanee Poolsap, Yuki Kato, Kengo Sato, Tatsuya Akutsu:
Using binding Profiles to Predict binding sites of Target RNAs. J. Bioinform. Comput. Biol. 9(6): 697-713 (2011) - [j14]Michiaki Hamada, Kengo Sato, Kiyoshi Asai:
Improving the accuracy of predicting secondary structure for aligned RNA sequences. Nucleic Acids Res. 39(2): 393-402 (2011) - [j13]Michiaki Hamada, Koichiro Yamada, Kengo Sato, Martin C. Frith, Kiyoshi Asai:
CentroidHomfold-LAST: accurate prediction of RNA secondary structure using automatically collected homologous sequences. Nucleic Acids Res. 39(Web-Server-Issue): 100-106 (2011) - 2010
- [j12]Yuki Kato, Kengo Sato, Michiaki Hamada, Yoshihide Watanabe, Kiyoshi Asai, Tatsuya Akutsu:
RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming. Bioinform. 26(18) (2010) - [j11]Michiaki Hamada, Kengo Sato, Kiyoshi Asai:
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy. BMC Bioinform. 11: 586 (2010) - [j10]Yutaka Saito, Kengo Sato, Yasubumi Sakakibara:
Robust and accurate prediction of noncoding RNAs from aligned sequences. BMC Bioinform. 11(S-7): S3 (2010) - [j9]Kengo Sato, Michiaki Hamada, Toutai Mituyama, Kiyoshi Asai, Yasubumi Sakakibara:
A Non-Parametric Bayesian Approach for Predicting RNA Secondary Structures. J. Bioinform. Comput. Biol. 8(4): 727-742 (2010) - [c11]Kengo Sato, Tom Whitington, Timothy L. Bailey, Paul Horton:
Improved prediction of transcription binding sites from chromatin modification data. CIBCB 2010: 1-7 - [c10]Yohei Okada, Kengo Sato, Yasubumi Sakakibara:
Improvement of Structure Conservation Index with Centroid Estimators. Pacific Symposium on Biocomputing 2010: 88-97
2000 – 2009
- 2009
- [j8]Michiaki Hamada, Hisanori Kiryu, Kengo Sato, Toutai Mituyama, Kiyoshi Asai:
Prediction of RNA secondary structure using generalized centroid estimators. Bioinform. 25(4): 465-473 (2009) - [j7]Michiaki Hamada, Kengo Sato, Hisanori Kiryu, Toutai Mituyama, Kiyoshi Asai:
Predictions of RNA secondary structure by combining homologous sequence information. Bioinform. 25(12) (2009) - [j6]Michiaki Hamada, Kengo Sato, Hisanori Kiryu, Toutai Mituyama, Kiyoshi Asai:
CentroidAlign: fast and accurate aligner for structured RNAs by maximizing expected sum-of-pairs score. Bioinform. 25(24): 3236-3243 (2009) - [j5]Kengo Sato, Michiaki Hamada, Kiyoshi Asai, Toutai Mituyama:
CENTROIDFOLD: a web server for RNA secondary structure prediction. Nucleic Acids Res. 37(Web-Server-Issue): 277-280 (2009) - [c9]Yasubumi Sakakibara, Kengo Sato:
Sequence and Structural Analyses for Functional Non-coding RNAs. Algorithmic Bioprocesses 2009: 63-79 - [c8]Kengo Sato, Michiaki Hamada, Toutai Mituyama, Kiyoshi Asai, Yasubumi Sakakibara:
A Non-parametric Bayesian Approach for Predicting RNA Secondary Structures. WABI 2009: 286-297 - 2008
- [j4]Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubumi Sakakibara:
Directed acyclic graph kernels for structural RNA analysis. BMC Bioinform. 9 (2008) - [j3]Kiyoshi Asai, Hisanori Kiryu, Michiaki Hamada, Yasuo Tabei, Kengo Sato, Hiroshi Matsui, Yasubumi Sakakibara, Goro Terai, Toutai Mituyama:
Software.ncrna.org: web servers for analyses of RNA sequences. Nucleic Acids Res. 36(Web-Server-Issue): 75-78 (2008) - 2007
- [j2]Yasubumi Sakakibara, Kris Popendorf, Nana Ogawa, Kiyoshi Asai, Kengo Sato:
Stem Kernels for RNA Sequence Analyses. J. Bioinform. Comput. Biol. 5(5): 1103-1122 (2007) - [c7]Yasubumi Sakakibara, Kiyoshi Asai, Kengo Sato:
Stem Kernels for RNA Sequence Analyses. BIRD 2007: 278-291 - 2006
- [e1]Yasubumi Sakakibara, Satoshi Kobayashi, Kengo Sato, Tetsuro Nishino, Etsuji Tomita:
Grammatical Inference: Algorithms and Applications, 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings. Lecture Notes in Computer Science 4201, Springer 2006, ISBN 3-540-45264-8 [contents] - 2005
- [j1]Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara:
Pair stochastic tree adjoining grammars for aligning and predicting pseudoknot RNA structures. Bioinform. 21(11): 2611-2617 (2005) - [c6]Kengo Sato, Yasubumi Sakakibara:
RNA secondary structural alignment with conditional random fields. ECCB/JBI 2005: 242 - 2004
- [c5]Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara:
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures. CSB 2004: 290-299 - 2003
- [c4]Hiroyuki Okamoto, Kengo Sato, Hiroaki Saito:
Preferential Presentation of Japanese Near-synonyms using Definition Statements. IWP@ACL 2003: 17-24 - 2002
- [c3]Kengo Sato, Hiroaki Saito:
Extracting Word Sequence Correspondences with Support Vector Machines. COLING 2002
1990 – 1999
- 1998
- [c2]Kengo Sato, Masakazu Nakanishi:
Maximum Entropy Model Learning of the Translation Rules. COLING-ACL 1998: 1171-1175 - 1996
- [c1]Shiho Nobesawa, Junya Tsutsumi, Sun Da Jiang, Tomohisa Sano, Kengo Sato, Masakazu Nakanishi:
Segmenting Sentences into Linky Strings Using D-bigram Statistics. COLING 1996: 586-591
Coauthor Index
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