title: Mining microarray data at NCBI's Gene Expression Omnibus (GEO)*.
abstract: The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) has emerged as the leading fully public repository for gene expression data. This chapter describes how to use Web-based interfaces, applications, and graphics to effectively explore, visualize, and interpret the hundreds of microarray studies and millions of gene expression patterns stored in GEO. Data can be examined from both experiment-centric and gene-centric perspectives using user-friendly tools that do not require specialized expertise in microarray analysis or time-consuming download of massive data sets. The GEO database is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo.
authors.affiliation: National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Tanya
authors.initials: T
authors.lastname: Barrett
authors.forename: Ron
authors.initials: R
authors.lastname: Edgar
mesh_terms: D000465:Algorithms; D000818:Animals; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D009317:National Library of Medicine (U.S.); D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D012984:Software; D014481:United States