| Presentation | 2023-07-07 Enhancing Glycan Recognition Pattern Learning with Tree-Structured Data Mining Kento Totsuka, Norihiko Shinomiya, Kiyoko Kinoshita, Masae Hosoda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent times, the rapid proliferation of semi-structured data has been primarily fueled by the emergence of the World Wide Web and bioinformatics. Notably, tree-structured data has gained prominence as a common format for data storage, and its potential for data mining has garnered significant attention. Glycans, being indispensable biomolecules present in all organisms, are recognized by molecules and play diverse functional roles in the body. They are commonly modeled as tree-structured data and analyzed using machine learning techniques in the domain of glycoinformatics. However, to fully understand the biological properties and functions of glycans, more detailed data is required. To address this research gap, we implemented a novel approach that incorporates information on the binding patterns between monosaccharides, the constituent units of a glycan, into glycan data. The data was subsequently subjected to analysis using the OTMM algorithm, a sophisticated probabilistic model for mining labeled ordered trees. Consequently, this approach enabled the extraction of biologically meaningful structures called motifs in glycans with a high degree of precision and detail, surpassing the results of previous research efforts. This study contributes to a comprehensive understanding of glycan structure recognition mechanisms and their function. The outcome of this study is also expected to enable researchers to conduct experiments on glycans more efficiently and expedite the process of elucidating their essential properties. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | machine learningprobabilistic modelgraph theoryglycanglycoinformaticsbioinformatics |
| Paper # | CAS2023-20,VLD2023-20,SIP2023-36,MSS2023-20 |
| Date of Issue | 2023-06-29 (CAS, VLD, SIP, MSS) |
| Conference Information | |
| Committee | MSS / CAS / SIP / VLD |
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| Conference Date | 2023/7/6(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Yasutoshi Aibara(OmniVision) / Takayuki Nakachi(Ryukyu Univ.) / Shigetoshi Nakatake(Univ. of Kitakyushu) |
| Vice Chair | Toshiyuki Miyamoto(Osaka Inst. of Tech.) / Norihiko Shinomiya(Soka Univ.) / Koichi Ichige(Yokohama National Univ.) / Kiyoshi Nishikawa(okyo Metropolitan Univ.) / Yuichi Sakurai(Hitachi) |
| Secretary | Toshiyuki Miyamoto(Osaka Univ.) / Norihiko Shinomiya(NEC) / Koichi Ichige(Soka Univ.) / Kiyoshi Nishikawa(Renesas Electronics) / Yuichi Sakurai(Chiba Univ.) |
| Assistant | Masato Shirai(Shimane Univ.) / Nao Ito(NIT, Toyama college) / Motoi Yamaguchi(TECHNOPRO) / Shinji Shimoda(Sony Semiconductor Solutions) / Shunsuke Koshita(Hachinohe Inst. of Tech.) / Taichi Yoshida(UEC) / Sayaka Shiota(Tokyo Metropolitan Univ.) / Takuma Nishimoto(Hitachi) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Circuits and Systems / Technical Committee on Signal Processing / Technical Committee on VLSI Design Technologies |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Enhancing Glycan Recognition Pattern Learning with Tree-Structured Data Mining |
| Sub Title (in English) | |
| Keyword(1) | machine learningprobabilistic modelgraph theoryglycanglycoinformaticsbioinformatics |
| 1st Author's Name | Kento Totsuka |
| 1st Author's Affiliation | Soka University(Soka Univ.) |
| 2nd Author's Name | Norihiko Shinomiya |
| 2nd Author's Affiliation | Soka University(Soka Univ.) |
| 3rd Author's Name | Kiyoko Kinoshita |
| 3rd Author's Affiliation | Soka University(Soka Univ.) |
| 4th Author's Name | Masae Hosoda |
| 4th Author's Affiliation | Soka University(Soka Univ.) |
| Date | 2023-07-07 |
| Paper # | CAS2023-20,VLD2023-20,SIP2023-36,MSS2023-20 |
| Volume (vol) | vol.123 |
| Number (no) | CAS-97,VLD-98,SIP-99,MSS-100 |
| Page | pp.pp.97-101(CAS), pp.97-101(VLD), pp.97-101(SIP), pp.97-101(MSS), |
| #Pages | 5 |
| Date of Issue | 2023-06-29 (CAS, VLD, SIP, MSS) |