期刊论文、会议论文

Wu, Fang-Xiang

英文

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

0302-9743

2018

10847

265-271

14th International Symposium on Bioinformatics Research and Applications, ISBRA 2018

Bioinformatics Research and Applications

8 June 2018 through 11 June 2018

Beijing, PEOPLES R CHINA

[Luo, Ping;Wu, Fang-Xiang] Univ Saskatchewan, Div Biomed Engn, Sakatoon, SK, Canada.^[Tian, Li-Ping] Beijing Wuzi Univ, Sch Informat, Beijing, Peoples R China.^[Chen, Bolin] Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian, Shaanxi, Peoples R China.^[Xiao, Qianghua] Univ South China, Sch Math & Phys, Hengyang, Peoples R China.^[Wu, Fang-Xiang] Nankai Univ, Sch Math Sci, Tianjin, Peoples R China.^[Wu, Fang-Xiang] Univ Saskatchewan, Dept Mech Engn, Saskatoon, SK, Canada.

Fa Zhang<&wdkj&>Zhipeng Cai<&wdkj&>Pavel Skums<&wdkj&>Shihua Zhang

GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND

Springer Verlag

9783319949673

10.1007/978-3-319-94968-0_26

This work is supported in part by Natural Science and Engineering Research Council of Canada (NSERC), China Scholarship Council (CSC) and by the National Natural Science Foundation of China under Grant No. 61772552 and 61571052. Acknowledgments. This work is supported in part by Natural Science and Engineering Research Council of Canada (NSERC), China Scholarship Council (CSC) and by the National Natural Science Foundation of China under Grant No. 61772552 and 61571052.

本校为其他机构

In this study, we propose a manifold learning-based method for predicting disease genes by assuming that a disease and its associated genes should be consistent in some lower dimensional manifold. The 10-fold cross-validation experiments show that the area under of the receiver operating characteristic (ROC) curve (AUC) generated by our approach is 0.7452 with high-quality gene-disease associations in OMIM dataset, which is greater that of the competing method PBCF (0.5700). 9 out of top 10 predicted gene-disease associations can be supported b...