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In consideration of gene interaction network as a complex network, previous studies have made efforts on the driver attribute filling of genes via network properties of nodes and network propagation of mutations. However, there are still obstacles from problems of small size of cancer samples and the existence of drivers without property of network neighbours, limiting the discovery of cancer driver genes. To address these obstacles, we propose an efficient modularity subspace based concept learning model. Our model can overcome the curse of dimensionality due to small samples via dimension reduction in the task of attribute concept learning and explore the features of genes through modularity subspace beyond the network neighbours. The evaluation analysis also demonstrates the superiority of our model in the task of driver attribute filling on two gene interaction networks. Generally, our model shows a promising prospect in the application of interaction network analysis of tumorigenesis.<\/jats:p>","DOI":"10.1155\/2020\/6643551","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T18:35:16Z","timestamp":1606156516000},"page":"1-12","source":"Crossref","is-referenced-by-count":2,"title":["Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples"],"prefix":"10.1155","volume":"2020","author":[{"given":"Fei","family":"Xie","sequence":"first","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an 710072, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6785-5618","authenticated-orcid":true,"given":"Jianing","family":"Xi","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an 710072, China"},{"name":"Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi\u2019an 710072, China"}]},{"given":"Qun","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Computer Science, Xianyang Normal University, Xi\u2019an 712000, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2010-11-5-r53"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1038\/ng.3168"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1126\/science.1235122"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1002\/pmic.200300636"},{"key":"5","article-title":"Analysis and applications of location-aware big complex network data","volume":"2019","author":"J. 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