{"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}
引用次数: 1
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 ...