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ORCIDMayumi Kamada
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Journal Articles
- 2023
[j6]Narumi Hatano, Mayumi Kamada, Ryosuke Kojima
, Yasushi Okuno:
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network. BMC Bioinform. 24(1): 383 (2023)- 2019
- [j5]Yu Bao, Simone Marini, Takeyuki Tamura, Mayumi Kamada, Shingo Maegawa, Hiroshi Hosokawa, Jiangning Song, Tatsuya Akutsu:
Toward more accurate prediction of caspase cleavage sites: a comprehensive review of current methods, tools and features. Briefings Bioinform. 20(5): 1669-1684 (2019) - 2018
- [j4]Morihiro Hayashida, Noriyuki Okada, Mayumi Kamada, Hitoshi Koyano:
Improving conditional random field model for prediction of protein-RNA residue-base contacts. Quant. Biol. 6(2): 155-162 (2018) - 2013
- [j3]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Prediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lasso. BMC Syst. Biol. 7(S-2): S15 (2013) - 2011
- [j2]Ozgur Demir-Kavuk, Mayumi Kamada, Tatsuya Akutsu, Ernst-Walter Knapp:
Prediction using step-wise L1, L2 regularization and feature selection for small data sets with large number of features. BMC Bioinform. 12: 412 (2011) - [j1]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Conditional random field approach to prediction of protein-protein interactions using domain information. BMC Syst. Biol. 5(S-1): S8 (2011)
Conference and Workshop Papers
- 2019
- [c5]Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno:
Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine. SWAT4HCLS 2019: 161-162 - 2017
- [c4]Mayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno:
Construction of Knowledge-Base for Clinical Interpretation of Genomic Variants. SWAT4LS 2017 - 2012
- [c3]Morihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu:
Predicting protein-RNA residue-base contacts using two-dimensional conditional random field. ISB 2012: 152-157 - 2009
- [c2]Mayumi Kamada, Sachi Kimura, Mikito Toda, Masami Takata, Kazuki Joe:
Clustering the Temporal Sequences Feature of 3D Protein Structure. PDPTA 2009: 749-755 - 2008
- [c1]Mayumi Kamada, Natsu Nakajima, Chisato Ishikawa, Masami Takata, Kazuki Joe:
Construction of an Ethanol-Tolerant Yeast Model using the E-cell System. PDPTA 2008: 776-782
Informal and Other Publications
- 2023
- [i3]Kazuma Inoue, Ryosuke Kojima, Mayumi Kamada, Yasushi Okuno:
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction. CoRR abs/2306.17202 (2023) - [i2]Aya Nakamura, Ryosuke Kojima, Yuji Okamoto, Eiichiro Uchino, Yohei Mineharu, Yohei Harada, Mayumi Kamada, Manabu Muto, Motoko Yanagita, Yasushi Okuno:
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data. CoRR abs/2307.11487 (2023) - 2022
- [i1]Atsuko Takagi, Mayumi Kamada, Eri Hamatani, Ryosuke Kojima, Yasushi Okuno:
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network. CoRR abs/2212.10788 (2022)
Coauthor Index
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