T-Test And P-Values For Microarray Expression Data
Hi all,
I have microarray expression matrix : columns are different cancers and the rows are my gene.
I want to detect the artifcats in my data sets, in other word, I want to see, whether the over-under expression of genes are by chance or they have some biological reasons.
How can I test this with computing P-values and T-test in R ? does anyboy knows R or bioconductor package which are specified for this task?
1 answer
It sounds like you may want to look at the limma bioconductor package. In particular, the limma user guide is an excellent resource.
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Sean Davis
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Have you normalized your values yet? Have you looked at limma? There have been countless posts here and elsewhere on using R to analyse microarrays.