{"title":"通过量化信息流探索模型集成","authors":"Y. Derbal","doi":"10.1109/NEBEC.2013.94","DOIUrl":null,"url":null,"abstract":"The paper explores the integration of coarse-grained model abstractions using feedback of quantized information flow. The modeling and simulation of the lytic induction cycle of lambda phage is used as an illustrative example. The simulation results show that the model, with its modest complexity, has the capacity to internalize the relevant transcription regulatory logic and replicate the salient dynamics of the lytic induction cycle.","PeriodicalId":153112,"journal":{"name":"2013 39th Annual Northeast Bioengineering Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring Model Integration through Quantized Information Flow\",\"authors\":\"Y. Derbal\",\"doi\":\"10.1109/NEBEC.2013.94\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper explores the integration of coarse-grained model abstractions using feedback of quantized information flow. The modeling and simulation of the lytic induction cycle of lambda phage is used as an illustrative example. The simulation results show that the model, with its modest complexity, has the capacity to internalize the relevant transcription regulatory logic and replicate the salient dynamics of the lytic induction cycle.\",\"PeriodicalId\":153112,\"journal\":{\"name\":\"2013 39th Annual Northeast Bioengineering Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 39th Annual Northeast Bioengineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEBEC.2013.94\",\"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 39th Annual Northeast Bioengineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEBEC.2013.94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring Model Integration through Quantized Information Flow
The paper explores the integration of coarse-grained model abstractions using feedback of quantized information flow. The modeling and simulation of the lytic induction cycle of lambda phage is used as an illustrative example. The simulation results show that the model, with its modest complexity, has the capacity to internalize the relevant transcription regulatory logic and replicate the salient dynamics of the lytic induction cycle.