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This tool uses the binomial test for each molecular function, biological process, or pathway term in PANTHER, to statistically (p < 0.05) determine over- or under-representation of PANTHER classification categories.
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In a few cases, we used the Binomial test (http://home.clara.net/sisa/binomial.htm).htm
We tested whether significantly more subjects turned their head to one side than expected by chance, using the Binomial test (e.g. [13], [27]).
We then again tested whether significantly more subjects turned their head to one side than expected by chance, using the Binomial test.
Each list was then compared to the reference list using the binomial test [35] for each molecular function, biological process, or pathway term in PANTHER.
Each list is compared to the reference list (NCBI M. Musculus genes) using the binomial test for each biological process term.
Over- or under-representation of the GO terms was statistically determined using the binomial test and p-values corrected for multiple testing using the Bonferroni method in the PANTHER system.
Molecular functions, biological processes and biological pathways over-represented by "signature" genes of the TAA were identified and the statistical significance of the over-representation was quantified by a random overlapping p value using the binomial test with all the genes represented by the Applied Biosystems Human Genome Survey Microarray as the reference list [28].
The P-value significance was calculated using the binomial test.
Imbalance detection statistics using the binomial test and multiple thresholds or the beta-binomial test.
The statistical test for classifier accuracy was performed using the binomial test.
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