Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology

被引:0
作者
Tao Xu
JianLei Gu
Yan Zhou
LinFang Du
机构
[1] Sichuan University,College of Life Sciences
[2] Chinese National Human Genome Center at Shanghai,Shanghai
[3] Fudan University,MOST Key Laboratory of Health and Disease Genomics
来源
BMC Bioinformatics | / 10卷
关键词
Gene Ontology; Acute Lymphocytic Leukemia; Acute Myeloblastic Leukemia; Mitotic Cell Cycle; Real Microarray Data;
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[1]  
Tusher VG(2001)Significance analysis of microarrays applied to the ionizing radiation response Proceedings of the National Academy of Sciences of the United States of America 98 5116-5121
[2]  
Tibshirani R(2000)Gene ontology: tool for the unification of biology. The Gene Ontology Consortium Nature genetics 25 25-29
[3]  
Chu G(2005)Ontological analysis of gene expression data: current tools, limitations, and open problems Bioinformatics (Oxford, England) 21 3587-3595
[4]  
Ashburner M(2007)Enrichment or depletion of a GO category within a class of genes: which test? Bioinformatics (Oxford, England) 23 401-407
[5]  
Ball CA(2008)Gene-set approach for expression pattern analysis Briefings in bioinformatics 9 189-197
[6]  
Blake JA(1999)KEGG: Kyoto Encyclopedia of Genes and Genomes Nucleic acids research 27 29-34
[7]  
Botstein D(2007)A systems biology approach for pathway level analysis Genome research 17 1537-1545
[8]  
Butler H(2008)SEGS: search for enriched gene sets in microarray data Journal of biomedical informatics 41 588-601
[9]  
Cherry JM(2006)ADGO: analysis of differentially expressed gene sets using composite GO annotation Bioinformatics (Oxford, England) 22 2249-2253
[10]  
Davis AP(2006)Improved scoring of functional groups from gene expression data by decorrelating GO graph structure Bioinformatics (Oxford, England) 22 1600-1607