Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

Background With an abundant amount of microarray gene expression data sets available through public repositories, new possibilities lie in combining multiple existing data sets. In this new context, analysis itself is no longer the problem, but retrieving and consistently integrating all this data b...

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Veröffentlicht in:	BMC bioinformatics Jg. 13; H. 1; S. 335
Hauptverfasser:	Taminau, Jonatan, Meganck, Stijn, Lazar, Cosmin, Steenhoff, David, Coletta, Alain, Molter, Colin, Duque, Robin, Schaetzen, Virginie de, Weiss Solís, David Y, Bersini, Hugues, Nowé, Ann
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 24.12.2012 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Access to Information Algorithms Analysis Anopheles Batch effect removal Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data integration Gene expression Gene Expression Profiling - statistics & numerical data Genes Hostages Humans InSilico DB Life Sciences Microarray repositories Microarrays Oligonucleotide Array Sequence Analysis - statistics & numerical data Reproducibility Software Transcriptome analysis Microarray repositories Gene expression Reproducibility Data integration Batch effect removal InSilico DB
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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