{"title":"利用进化聚类技术在逆转录病毒蛋白质组序列中发现生物电子学相关性","authors":"R. Garza-Domínguez, E. Bautista-Thompson","doi":"10.1109/ENC.2009.44","DOIUrl":null,"url":null,"abstract":"A cluster analysis on a set of Retro-Transcribing viral proteomic sequences is described in this paper. A Lysine-Arginine concentration vector is calculated from the sequences and analyzed to identify correlations among species. The computational strategy is based on the K-Means algorithm to partition the data into disjoint sets of points. A search method based on Evolutionary Programming is incorporated, in order to optimize the cluster structures. Experimental results show a number of interesting and unexpected similarities. These similarities could suggest bioelectronics relationships, in the context of the electronic mobility theory.","PeriodicalId":273670,"journal":{"name":"2009 Mexican International Conference on Computer Science","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Finding Bioelectronics Correlations in Retro-transcribing Viral Proteomic Sequences Using an Evolutionary Clustering Technique\",\"authors\":\"R. Garza-Domínguez, E. Bautista-Thompson\",\"doi\":\"10.1109/ENC.2009.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A cluster analysis on a set of Retro-Transcribing viral proteomic sequences is described in this paper. A Lysine-Arginine concentration vector is calculated from the sequences and analyzed to identify correlations among species. The computational strategy is based on the K-Means algorithm to partition the data into disjoint sets of points. A search method based on Evolutionary Programming is incorporated, in order to optimize the cluster structures. Experimental results show a number of interesting and unexpected similarities. These similarities could suggest bioelectronics relationships, in the context of the electronic mobility theory.\",\"PeriodicalId\":273670,\"journal\":{\"name\":\"2009 Mexican International Conference on Computer Science\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Mexican International Conference on Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENC.2009.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Mexican International Conference on Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENC.2009.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finding Bioelectronics Correlations in Retro-transcribing Viral Proteomic Sequences Using an Evolutionary Clustering Technique
A cluster analysis on a set of Retro-Transcribing viral proteomic sequences is described in this paper. A Lysine-Arginine concentration vector is calculated from the sequences and analyzed to identify correlations among species. The computational strategy is based on the K-Means algorithm to partition the data into disjoint sets of points. A search method based on Evolutionary Programming is incorporated, in order to optimize the cluster structures. Experimental results show a number of interesting and unexpected similarities. These similarities could suggest bioelectronics relationships, in the context of the electronic mobility theory.
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