{"title":"一种处理数字基因表达谱的离散化方法","authors":"Jibin Qu, Jinxia Zhang, Chenyang Huang, Baogui Xie, Yong Wang, Xiang-Sun Zhang","doi":"10.1109/ISB.2013.6623808","DOIUrl":null,"url":null,"abstract":"Discretization serves as an important preprocessing step for analyzing gene expression data and many algorithms have been proposed. However, most of the discretization methods were designed for microarrays. As a new technology, digital gene expression (DGE) profiles can overcome the limitation of microarrays and were applied in a widely range. In this paper, we proposed a novel discretization method for DGE data and the validations in a time-series gene expression dataset proved the efficiency of our method.","PeriodicalId":151775,"journal":{"name":"2013 7th International Conference on Systems Biology (ISB)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A novel discretization method for processing digital gene expression profiles\",\"authors\":\"Jibin Qu, Jinxia Zhang, Chenyang Huang, Baogui Xie, Yong Wang, Xiang-Sun Zhang\",\"doi\":\"10.1109/ISB.2013.6623808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discretization serves as an important preprocessing step for analyzing gene expression data and many algorithms have been proposed. However, most of the discretization methods were designed for microarrays. As a new technology, digital gene expression (DGE) profiles can overcome the limitation of microarrays and were applied in a widely range. In this paper, we proposed a novel discretization method for DGE data and the validations in a time-series gene expression dataset proved the efficiency of our method.\",\"PeriodicalId\":151775,\"journal\":{\"name\":\"2013 7th International Conference on Systems Biology (ISB)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 7th International Conference on Systems Biology (ISB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISB.2013.6623808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 7th International Conference on Systems Biology (ISB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISB.2013.6623808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel discretization method for processing digital gene expression profiles
Discretization serves as an important preprocessing step for analyzing gene expression data and many algorithms have been proposed. However, most of the discretization methods were designed for microarrays. As a new technology, digital gene expression (DGE) profiles can overcome the limitation of microarrays and were applied in a widely range. In this paper, we proposed a novel discretization method for DGE data and the validations in a time-series gene expression dataset proved the efficiency of our method.
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