Need advice: how to approach discrepancy in differential microarray gene expression test results: what to do if ANOVA, ttest, SAM and Limma procedures show different results and especially more discrepant when using log transformations and normalization operations?
I wouldn't expect different methods to give the same results. Further, why are you even testing non-normalized datasets, the results of that are completely and utterly useless for any purpose other than showing that normalization is important. In addition, an T-test is a special case of an ANOVA (and of course limma is itself using a moderated T-test, though it's going to have significantly more power than the others), so I have to ask myself exactly what sort of design you're using that it's appropriate to substitute one for the other and still get apparently vastly different results.
In general, I would strongly encourage you to work with a local bioinformatician or statistician for what is presumably your first microarray analysis, particularly if you don't have a strong statistics background.