Globaltest and GOEAST: two different approaches for Gene Ontology analysis
Open Access
- 16 July 2009
- journal article
- Published by Springer Nature in BMC Proceedings
- Vol. 3 (S4), S10
- https://doi.org/10.1186/1753-6561-3-s4-s10
Abstract
Gene set analysis is a commonly used method for analysing microarray data by considering groups of functionally related genes instead of individual genes. Here we present the use of two gene set analysis approaches: Globaltest and GOEAST.Keywords
This publication has 9 references indexed in Scilit:
- Microarray-based gene set analysis: a comparison of current methodsBMC Bioinformatics, 2008
- GOEAST: a web-based software toolkit for Gene Ontology enrichment analysisNucleic Acids Research, 2008
- A Biological Evaluation of Six Gene Set Analysis Methods for Identification of Differentially Expressed Pathways in Microarray DataCancer Informatics, 2008
- Improved scoring of functional groups from gene expression data by decorrelating GO graph structureBioinformatics, 2006
- Ontological analysis of gene expression data: current tools, limitations, and open problemsBioinformatics, 2005
- A global test for groups of genes: testing association with a clinical outcomeBioinformatics, 2004
- The control of the false discovery rate in multiple testing under dependencyThe Annals of Statistics, 2001
- Gene Ontology: tool for the unification of biologyNature Genetics, 2000
- Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple TestingJournal of the Royal Statistical Society Series B: Statistical Methodology, 1995