{"title":"面向大规模微阵列时间序列数据的时间特征可视化","authors":"P. Craig, J. Kennedy, Andrew Cumming","doi":"10.1109/IV.2002.1028809","DOIUrl":null,"url":null,"abstract":"Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper introduces a technique that overcomes this problem by combining a novel display technique, which operates over a continuous temporal subset of the time series, with direct manipulation of the parameters defining the subset.","PeriodicalId":308951,"journal":{"name":"Proceedings Sixth International Conference on Information Visualisation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Towards visualising temporal features in large scale microarray time-series data\",\"authors\":\"P. Craig, J. Kennedy, Andrew Cumming\",\"doi\":\"10.1109/IV.2002.1028809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper introduces a technique that overcomes this problem by combining a novel display technique, which operates over a continuous temporal subset of the time series, with direct manipulation of the parameters defining the subset.\",\"PeriodicalId\":308951,\"journal\":{\"name\":\"Proceedings Sixth International Conference on Information Visualisation\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Conference on Information Visualisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2002.1028809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2002.1028809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards visualising temporal features in large scale microarray time-series data
Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper introduces a technique that overcomes this problem by combining a novel display technique, which operates over a continuous temporal subset of the time series, with direct manipulation of the parameters defining the subset.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
