{"title":"大数据基因统计中致病模块的信息识别","authors":"LiXiaoxia, LiuHuairui, ChengWeili","doi":"10.1680/JNAEN.20.00025","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the selection of F value is too small when the negative outliers are removed by traditional recognition methods, a recognition method of pathogenicity module information ...","PeriodicalId":44365,"journal":{"name":"Nanomaterials and Energy","volume":"10 1","pages":"35-42"},"PeriodicalIF":0.3000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Information recognition of pathogenic modules in gene statistics of big data\",\"authors\":\"LiXiaoxia, LiuHuairui, ChengWeili\",\"doi\":\"10.1680/JNAEN.20.00025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem that the selection of F value is too small when the negative outliers are removed by traditional recognition methods, a recognition method of pathogenicity module information ...\",\"PeriodicalId\":44365,\"journal\":{\"name\":\"Nanomaterials and Energy\",\"volume\":\"10 1\",\"pages\":\"35-42\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanomaterials and Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1680/JNAEN.20.00025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanomaterials and Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1680/JNAEN.20.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Information recognition of pathogenic modules in gene statistics of big data
Aiming at the problem that the selection of F value is too small when the negative outliers are removed by traditional recognition methods, a recognition method of pathogenicity module information ...
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