Abstract
Gene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene. © The Author 2007. Published by Oxford University Press. All rights reserved.
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CITATION STYLE
Kim, S. B., Yang, S., Kim, S. K., Kim, S. C., Woo, H. G., Volsky, D. J., … Chu, I. S. (2007). GAzer: Gene set analyzer. In Bioinformatics (Vol. 23, pp. 1697–1699). Oxford University Press. https://doi.org/10.1093/bioinformatics/btm144
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