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Which is the best r package for co expression analysis

Hi guys,I am doing microarray analysis on microarray data fr prostate cancer.which is the best r tool for gene coexpression anlysis...WGCNA,PETAL OR CEMITOOLS OR COEXNET....can someone tell their pros and cons or atleast send an article link which compared these

r gene
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written by ghataksoumyakanti • ghataksoumyakanti

What have you found when trying to find some answers yourself? If you ask us to search for literature, why don't you do that yourself?

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written by WouterDeCoster WouterDeCoster

No literature wise I have read...I am asking if someone has experienced a better outcome and better data after using one of these that distinguisges from other tools.

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written by ghataksoumyakanti • ghataksoumyakanti

1 answer

If you want a ready-made tutorial, then try this one by me: Network plot from expression data in R using igraph

WGCNA is very popular, but you seem to be struggling with the tutorial?

Please read this: Gene co-expression analysis for functional classification and gene-disease predictions.

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written by Kevin Blighe Kevin Blighe

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