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In the analysis of microarray data–If replicated datasets are available, rigorous statistical tests such as t-test and analysis of variance (ANOVA) can be performed to test the null hypothesis that a given data point is not significantly different from the mean of the data distribution.

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In the analysis of microarray data–If replicated datasets are available, rigorous statistical tests such as t-test and analysis of variance (ANOVA) can be performed to test the null hypothesis that a given data point is not significantly different from the mean of the data distribution.

(a) True

(b) False

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My question is from Microarray-Based Approaches topic in portion Functional Genomics & Proteomics of Bioinformatics

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The correct choice is (a) True

To explain: For such tests, it is common to use a P-value cutoff of .05, which means a confidence level of 95% to distinguish the data groups. This level also corresponds to a gene expression level with two standard deviations from the mean of distribution.

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