A. Islam, K. Iftekharuddin, E. George, D. Russomanno
{"title":"CNS Tumor Prediction Using Gene Expression Data Part II","authors":"A. Islam, K. Iftekharuddin, E. George, D. Russomanno","doi":"10.4018/978-1-59904-849-9.CH047","DOIUrl":null,"url":null,"abstract":"In this chapter, we propose a novel algorithm for characterizing a variety of CNS tumors. The proposed algorithm is illustrated with an analysis of an Affymetrix gene expression data from CNS tumor samples (Pomeroy et al., 2002). As discussed in the previous chapter entitled: CNS Tumor Prediction Using Gene Expression Data Part I, we used an ANOVA model to normalize the microarray gene expression measurements. In this chapter, we introduce a systemic way of building tumor prototypes to facilitate automatic prediction of CNS tumors.","PeriodicalId":320314,"journal":{"name":"Encyclopedia of Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Encyclopedia of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-59904-849-9.CH047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this chapter, we propose a novel algorithm for characterizing a variety of CNS tumors. The proposed algorithm is illustrated with an analysis of an Affymetrix gene expression data from CNS tumor samples (Pomeroy et al., 2002). As discussed in the previous chapter entitled: CNS Tumor Prediction Using Gene Expression Data Part I, we used an ANOVA model to normalize the microarray gene expression measurements. In this chapter, we introduce a systemic way of building tumor prototypes to facilitate automatic prediction of CNS tumors.
在本章中,我们提出了一种新的算法来表征各种中枢神经系统肿瘤。通过对来自中枢神经系统肿瘤样本的Affymetrix基因表达数据的分析(Pomeroy et al., 2002)说明了所提出的算法。正如前一章所讨论的:利用基因表达数据预测中枢神经系统肿瘤第一部分,我们使用方差分析模型来标准化微阵列基因表达测量。在本章中,我们介绍了一种系统构建肿瘤原型的方法,以促进中枢神经系统肿瘤的自动预测。