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Methodologies, Pros And Cons Of Merging Multiple Expression Datasets

Hi,

I'm compiling a reading list for papers discussing methodologies, pros/cons of merging multiple gene expression data sets for meta analysis. So far, my list has these papers:

Comprehensive analysis of correlation coefficients estimated from pooling heterogeneous microarray data

Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline

Merging two gene-expression studies via cross-platform normalization

A gene-coexpression network for global discovery of conserved genetic modules

Do you know any "must read" papers along the lines I mentined ?

Thank you.

microarray
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written by Sudeep Sudeep

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