{"title":"基于约束无序原理的第二代算法实现了量化的可变性特征,以改善复杂系统的功能","authors":"Tal Sigawi, Hillel Lehmann, N. Hurvitz, Y. Ilan","doi":"10.26502/jbsb.5107051","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"45 21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Constrained disorder principle-based second-generation algorithms implement quantified variability signatures to improve the function of complex systems\",\"authors\":\"Tal Sigawi, Hillel Lehmann, N. Hurvitz, Y. Ilan\",\"doi\":\"10.26502/jbsb.5107051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":73617,\"journal\":{\"name\":\"Journal of bioinformatics and systems biology : Open access\",\"volume\":\"45 21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of bioinformatics and systems biology : Open access\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26502/jbsb.5107051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of bioinformatics and systems biology : Open access","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26502/jbsb.5107051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Constrained disorder principle-based second-generation algorithms implement quantified variability signatures to improve the function of complex systems