Gene expression microarray data

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Blower PE, Yang C, Fligner MA et al. Pharmacogenomic analysis correlating molecular substructure classes with microarray gene expression data. Pharmacogenomics J2002(2-.259-271. 

Jiang H, Deng Y, Chen HS et al. Joint analysis of two microarray gene-expression data sets to select lung adenocarcinoma marker genes. BMC Bioinformatics 2004 5 81. 

Public repositories of microarray gene expression data have been developed to store the results of array experiments ArrayExpress (32) in Europe, Gene Expression Omnibus (GEO) in the United States (33), and the Center for Information Biology Gene Expression Database (CIBEX) (34) in Japan. Many journals already require an accession number (indicating that a data set has been submitted to one of these public databases) prior to publication. 

Brazma A, Parkinson HS, Sarkans U et al. ArrayExpress a publie repository for microarray gene expression data at the EBl. Nucleic Acids Res 2003 31 68-71. 

Microarray Gene Expression Data (MGED) Society (http //www.mged.org)... 

Brazma A, Parkinson H, Sarkans U, Shojatalab M, Vilo J, Abeygunawardena N, Holloway E, Kapushesky M, Kemmeren P, Lara GG, Oezcimen A, Rocca-Serra P, Sansone SA. ArrayExpress-a public repository for microarray gene expression data at the EBI. Nucleic Acids Res 2003 31 68-71. 

Brown MP, Grundy WN, Lin D, Cristianini N, Sugnet CW, Furey TS Jr, Ares M, Haussler D, Knowledge-based analysis of microarray gene expression data by using support vector machines, Proc. Natl. Acad. Sci. USA, 97 262-267, 2000. 

Belacel N, Wang Q, Cuperlovic-Culf M. Clustering methods for 102. microarray gene expression data. OMICS. 2006 10 507-531. 

Peng Y, Li W, Liu Y. A hybrid approach for biomarker discovery from microarray gene expression data for cancer classification. Cancer Inform. 2007 2 301-311. 

Ambroise C, McLachlan GJ. Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci USA 2002 99 6562-6. 

The Microarray Gene Expression Data Society created the MIAME (Minimum Information About a Microarray Experiment) standards for the description of microarray experiments and for the exchange of microarray data. 

The MIAME standard was created by the Functional Genomics Data Society, formerly known as the Microarray Gene Expression Data Society (http // www.mged.org), as an effort to provide standards to specify all the information necessary to describe and interpret unambiguously the results of a microarray experiment (74). The standard defines the contents required for compliance reports but it does not specify the format in which this data should be presented. As a consequence there are a number of different file formats for representing this data, and each public and subscription database has adopted its own format. 

Microarray databases are repositories containing experimental microarray data, mainly microarray gene expression data. Microarray databases are used to store the results of finished experiments, and to make the data available to other users and applications, either directly or via user download. Microarray databases can fall into two distinct classes ... 

As microarray gene expression data are increasingly generated, the role of trans-... 

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