Microarray data mining using gene ontology

被引：0
作者：
Li, Songhui [1 ]
Becich, Michael J. [1 ]
机构：
[1] Department of Pathology, Center for Pathology Informatics, University of Pittsburgh Medical School, Pittsburgh
来源：
Studies in Health Technology and Informatics | 2004年 / 107卷
关键词：
Data Mining; Gene Expression; Gene Ontology; Microarray;
D O I：
10.3233/978-1-60750-949-3-778
中图分类号：
学科分类号：
摘要：
DNA microarray technology allows scientists to study the expression of thousands of genes-potentially entire genomes-simultaneously. However the large number of genes, variety of statistical methods employed and the complexity of biologic systems complicate analysis of microarray results. We have developed a web based environment that simplifies the presentation of microarray results by combining microarray results processed for statistical significance with probe set annotation by Genbank, NCBI RefSeqs, GeneCards and the Gene Ontology. This allows rapid examination and classification of microarray experiments-annotated by NCIBI tools-by Statistical Significance and Gene Oncology Classes. By providing a simple, easily understood interface to large microarray data sets, this tool has been particularly usefulfor small research groups focused on a small number of related genes and for researchers who want to ask simple questions without the overhead of complex data management and analysis. © 2004 IMIA. All rights reserved.
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页码：778 / 782
页数：4
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