GAzer: gene set analyzer |
| |
Authors: | Kim Sang-Bae Yang Sungjin Kim Seon-Kyu Kim Sang Cheol Woo Hyun Goo Volsky David J Kim Seon-Young Chu In-Sun |
| |
Affiliation: | Korean BioInformation Center, KRIBB, Daejeon 305-806, Korea. |
| |
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. AVAILABILITY: The GAzer gene set analyzer is freely available at http://integromics.kobic.re.kr/GAzer/. SUPPLEMENTARY INFORMATION: This can be found on the web page (http://integromics.kobic.re.kr/GAzer/supplement.jsp). |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|