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Click a question below to see the answer:
What statistical analyses does GeneSpring GX do?
What is the philosophy behind statistics in GeneSpring gx?
How do I determine which genes are statistically over- or underexpressed?
What changes have been made to the error model in GeneSpring 6.1?
How can I perform a paired t-test in GeneSpring GX?
While performing a Statistical Analysis (ANOVA), I get an error message indicating that none of the genes have any degrees of freedom. What does it mean?
What is the difference between the p-value in the Gene Inspector window and the p-value resulting from the statistical analysis tool (ANOVA)?
Where can I find the p-values for genes that are differentially expressed?
If I have two-color data, should I Filter on Confidence using t-test p-values or run an ANOVA using the Statistical Analysis tool?
If I use multiple testing corrections, no genes pass the statistical analysis. Why should I use one?
Why do I get no genes passing the Statistical Analysis? I have 10,000 genes on my chip.
How do I determine which genes are differentially expressed between groups of replicate samples?
How to setup groups in Statistical Analysis (ANOVA)?
GeneSpring GX Uses Geometric Mean Instead of Arithmetic Mean
I want to know the effect of one parameter on the other parameter during the analysis of two parameters. Is it possible to analyse it in GS? If yes, how can I proceed?
How should I handle on-chip replicate?
