{"title":"来自微阵列的诊断签名:个性化医疗的生物信息学概念","authors":"Rainer Spang","doi":"10.1016/S1478-5382(03)02329-1","DOIUrl":null,"url":null,"abstract":"<div><p>Microarrays can be used as diagnostic clinical tools, providing a global overview of gene transcription in diseased tissues. Expression profiles can be easily obtained in a single assay and provide exhaustive information about molecular events that are often directly linked to the cause of a disease. However, the high complexity of the data are challenging. This article reviews recent efforts in bioinformatics and statistics to overcome this problem and make feasible the clinical analysis of gene expression profiles.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02329-1","citationCount":"47","resultStr":"{\"title\":\"Diagnostic signatures from microarrays: a bioinformatics concept for personalized medicine\",\"authors\":\"Rainer Spang\",\"doi\":\"10.1016/S1478-5382(03)02329-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Microarrays can be used as diagnostic clinical tools, providing a global overview of gene transcription in diseased tissues. Expression profiles can be easily obtained in a single assay and provide exhaustive information about molecular events that are often directly linked to the cause of a disease. However, the high complexity of the data are challenging. This article reviews recent efforts in bioinformatics and statistics to overcome this problem and make feasible the clinical analysis of gene expression profiles.</p></div>\",\"PeriodicalId\":9227,\"journal\":{\"name\":\"Biosilico\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02329-1\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosilico\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1478538203023291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosilico","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1478538203023291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnostic signatures from microarrays: a bioinformatics concept for personalized medicine
Microarrays can be used as diagnostic clinical tools, providing a global overview of gene transcription in diseased tissues. Expression profiles can be easily obtained in a single assay and provide exhaustive information about molecular events that are often directly linked to the cause of a disease. However, the high complexity of the data are challenging. This article reviews recent efforts in bioinformatics and statistics to overcome this problem and make feasible the clinical analysis of gene expression profiles.
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