データコラボレーション解析による分散協調特徴量選択手法の研究

基于数据协同分析的分布式协同特征选择方法研究

• 批准号: 22K12144
• 负责人: 叶 秀彩
• 金额: $ 2.66万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K12144/
• 关键词: feature selection; active feature selection; 特徴選択; 中間表現; データコラボレーション

In this year, we mainly address the active feature selection-based method and application. Most existing feature selection methods focus on statically selecting the same informative features for each subtype and fail to consider the heterogeneity of samples which causes pattern differences in each subtype. We consider active feature selection to dynamically acquire different features in each subtype by combining the subtype classifier with the reinforcement learning (RL) agent in a cost-sensitive manner. We apply active feature selection for gene signature identification in renal cell carcinoma, which can select different gene signatures for different renal cell carcinoma subtypes.

在今年，我们主要解决基于功能选择的活动方法和应用程序。大多数现有的特征选择方法着重于静态选择每个亚型的相同信息特征，并且无法考虑样品的异质性，从而导致每个亚型的模式差异。我们认为主动特征选择以成本敏感的方式将亚型分类器与加固学习（RL）代理相结合，以动态地获取每个亚型的不同特征。我们将主动特征选择用于肾细胞癌中的基因特征鉴定，该肾细胞癌可以为不同的肾细胞癌亚型选择不同的基因特征。

项目成果

Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma

• DOI: 10.1016/j.jbi.2022.104049
• 发表时间: 2022-03
• 期刊: Journal of biomedical informatics
• 影响因子: 4.5
• 作者: Meng Huang;Xiucai Ye;A. Imakura;Tetsuya Sakurai

Interactive gene identification for cancer subtyping based on multi-omics clustering

• DOI: 10.1016/j.ymeth.2023.02.005
• 发表时间: 2023-02-20
• 期刊: METHODS
• 影响因子: 4.8
• 作者: Ye，Xiucai;Shi，Tianyi;Sakurai，Tetsuya
• 通讯作者: Sakurai，Tetsuya

Multiview Network Embedding for Drug-target Interaction Prediction

用于药物靶标相互作用预测的多视图网络嵌入

• 发表时间: 2023
• 作者: Shang Yifan;Ye Xiucai;Futamura Yasunori;Yu Liang;Sakurai Tetsuya;Ye Xiucai; Imakura Akira; Sakurai Tetsuya;Sakurai Tetsuya; Imakura Akira; Ye Xiucai; Bogdanova Anna;Ye Xiucai; Shang Yifan; Futamura Yasunori; Sakurai Tetsuya
• 通讯作者: Ye Xiucai; Shang Yifan; Futamura Yasunori; Sakurai Tetsuya

Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving

• DOI: 10.1093/bib/bbac059
• 发表时间: 2022-03-09
• 期刊: BRIEFINGS IN BIOINFORMATICS
• 影响因子: 9.5
• 作者: Shang, Yifan;Ye, Xiucai;Sakurai, Tetsuya
• 通讯作者: Sakurai, Tetsuya

Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering

• DOI: 10.1109/ijcnn55064.2022.9892958
• 发表时间: 2022-07
• 期刊: 2022 International Joint Conference on Neural Networks (IJCNN)
• 作者: Weihang Zhang;Xiucai Ye;Testuya Sakurai