{"title":"代谢途径和网络的分析和可视化:一种超图方法","authors":"Evaggelia Maniadi, I. Tollis","doi":"10.1109/BHI.2014.6864316","DOIUrl":null,"url":null,"abstract":"Metabolic pathways are series of chemical reactions occurring in a cell. Various graph-based models are used to represent metabolic data. However, diverse problems may arise from adopting these models. A more accurate modeling framework can be offered by hypergraphs. In this paper, a new technique for visualizing hypergraphs using common graph drawing techniques is proposed. This method is implemented in VisBolic, a case tool for the analysis and visualization of metabolic pathways; several examples are presented.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis and visualization of metabolic pathways and networks: A hypegraph approach\",\"authors\":\"Evaggelia Maniadi, I. Tollis\",\"doi\":\"10.1109/BHI.2014.6864316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metabolic pathways are series of chemical reactions occurring in a cell. Various graph-based models are used to represent metabolic data. However, diverse problems may arise from adopting these models. A more accurate modeling framework can be offered by hypergraphs. In this paper, a new technique for visualizing hypergraphs using common graph drawing techniques is proposed. This method is implemented in VisBolic, a case tool for the analysis and visualization of metabolic pathways; several examples are presented.\",\"PeriodicalId\":177948,\"journal\":{\"name\":\"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BHI.2014.6864316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BHI.2014.6864316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis and visualization of metabolic pathways and networks: A hypegraph approach
Metabolic pathways are series of chemical reactions occurring in a cell. Various graph-based models are used to represent metabolic data. However, diverse problems may arise from adopting these models. A more accurate modeling framework can be offered by hypergraphs. In this paper, a new technique for visualizing hypergraphs using common graph drawing techniques is proposed. This method is implemented in VisBolic, a case tool for the analysis and visualization of metabolic pathways; several examples are presented.
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