Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets

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Adaikalavan Ramasamy and colleagues outline seven key issues and suggest a stepwise approach in conducting a meta-analysis of microarray datasets.

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NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data (2015, methodology): “Click ‘OK’ to enter the Network Builder page.”
Reuse of public genome-wide gene expression data (2012, methodology): “Such meta-analysis studies and their methods have been comprehensively reviewed elsewhere 67,68,69 , and a summary of the steps for such analysis is presented in BOX 4 .”
Comprehensive literature review and statistical considerations for microarray meta-analysis (2012, methodology): “(108) has suggested to apply the integrative correlation technique by Parmagiani et al .”