{"title":"NSGA-II用于生物图压缩","authors":"A. Zakirov, J. A. Brown","doi":"10.12988/ASB.2017.61143","DOIUrl":null,"url":null,"abstract":"Examinations of a common biological reference organism, (E. coli), demonstrate that NSGA-II is able to provide a series of compressions at various ratios, allows a biologist to examine the organism’s connective networks with a measure of certainty of connectiveness. This is due to a novel method of scoring the similarity of the compressed network to the origional during the graph’s creation based on the number of false links added to the graph during the compression method.","PeriodicalId":7194,"journal":{"name":"Advanced Studies in Biology","volume":"50 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"NSGA-II for biological graph compression\",\"authors\":\"A. Zakirov, J. A. Brown\",\"doi\":\"10.12988/ASB.2017.61143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Examinations of a common biological reference organism, (E. coli), demonstrate that NSGA-II is able to provide a series of compressions at various ratios, allows a biologist to examine the organism’s connective networks with a measure of certainty of connectiveness. This is due to a novel method of scoring the similarity of the compressed network to the origional during the graph’s creation based on the number of false links added to the graph during the compression method.\",\"PeriodicalId\":7194,\"journal\":{\"name\":\"Advanced Studies in Biology\",\"volume\":\"50 1\",\"pages\":\"1-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Studies in Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12988/ASB.2017.61143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Studies in Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12988/ASB.2017.61143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Examinations of a common biological reference organism, (E. coli), demonstrate that NSGA-II is able to provide a series of compressions at various ratios, allows a biologist to examine the organism’s connective networks with a measure of certainty of connectiveness. This is due to a novel method of scoring the similarity of the compressed network to the origional during the graph’s creation based on the number of false links added to the graph during the compression method.
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