Gene Expression Omnibus ( GEO ) : Microarray data storage , submission , retrieval , and analysis
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[1] Andrew Young,et al. OntologyTraverser: an R package for GO analysis , 2005, Bioinform..
[2] Michael Gribskov,et al. Use of keyword hierarchies to interpret gene expression patterns , 2001, Bioinform..
[3] Satoru Miyano,et al. Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution , 2005, Bioinform..
[4] C. Ball,et al. Microarray Data Standards: An Open Letter , 2004, Environmental Health Perspectives.
[5] Shawn M. Burgess,et al. High-Resolution Genome-Wide Mapping of Transposon Integration in Mammals , 2005, Molecular and Cellular Biology.
[6] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[7] Theresa A. Storm,et al. Large-Scale Molecular Characterization of Adeno-Associated Virus Vector Integration in Mouse Liver , 2005, Journal of Virology.
[8] Jason E. Stewart,et al. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data , 2001, Nature Genetics.
[9] Dennis B. Troup,et al. NCBI GEO: mining millions of expression profiles—database and tools , 2004, Nucleic Acids Res..
[10] Warren S Alexander,et al. Suppressor of cytokine signaling-2 deficiency induces molecular and metabolic changes that partially overlap with growth hormone-dependent effects. , 2005, Molecular endocrinology.
[11] Ronald W. Davis,et al. Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray , 1995, Science.
[12] W. Liang,et al. TM4 microarray software suite. , 2006, Methods in enzymology.
[13] John Quackenbush. Genomics. Microarrays--guilt by association. , 2003, Science.
[14] Gordon K Smyth,et al. Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .
[15] Vincent J Carey,et al. Bioconductor: an open source framework for bioinformatics and computational biology. , 2006, Methods in enzymology.
[16] L Yue,et al. Pathway and ontology analysis: emerging approaches connecting transcriptome data and clinical endpoints. , 2005, Current molecular medicine.
[17] Andrea Vijverberg,et al. Clustering Microarray Data , 2007 .
[18] James Gao,et al. The lacrimal gland transcriptome is an unusually rich source of rare and poorly characterized gene transcripts. , 2005, Investigative ophthalmology & visual science.
[19] Alex E. Lash,et al. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..
[20] E. Koonin,et al. Conservation and coevolution in the scale-free human gene coexpression network. , 2004, Molecular biology and evolution.
[21] W. Wong,et al. Functional annotation and network reconstruction through cross-platform integration of microarray data , 2005, Nature Biotechnology.
[22] Helen Parkinson,et al. Data storage and analysis in ArrayExpress. , 2006, Methods in enzymology.
[23] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[24] Martin Brockington,et al. Localization and functional analysis of the LARGE family of glycosyltransferases: significance for muscular dystrophy. , 2005, Human molecular genetics.
[25] Jason E. Stewart,et al. Design and implementation of microarray gene expression markup language (MAGE-ML) , 2002, Genome Biology.
[26] G. Schuler,et al. Entrez: molecular biology database and retrieval system. , 1996, Methods in enzymology.
[27] Yee Hwa Yang,et al. Freshly isolated rat alveolar type I cells, type II cells, and cultured type II cells have distinct molecular phenotypes. , 2005, American journal of physiology. Lung cellular and molecular physiology.
[28] C. Ball,et al. Submission of Microarray Data to Public Repositories , 2004, PLoS biology.
[29] Helen Parkinson,et al. Using ontologies to annotate microarray experiments. , 2006, Methods in enzymology.