FUNC: a package for detecting significant associations between gene sets and ontological annotations
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Erhard Rahm | Hong Hai Do | Kay Prüfer | Michael Lachmann | Philipp Khaitovich | Gunter Weiss | Svante Pääbo | Wolfgang Enard | Bjoern Muetzel | S. Pääbo | M. Lachmann | H. Do | E. Rahm | P. Khaitovich | Kay Prüfer | W. Enard | G. Weiss | Bjoern Muetzel
[1] Kei-Hoi Cheung,et al. Handling multiple testing while interpreting microarrays with the Gene Ontology Database , 2004, BMC Bioinformatics.
[2] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[3] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[4] Jean L. Chang,et al. Initial sequence of the chimpanzee genome and comparison with the human genome , 2005, Nature.
[5] Hagai Bergman,et al. Identifying subtle interrelated changes in functional gene categories using continuous measures of gene expression , 2005, Bioinform..
[6] Doron Lancet,et al. Human specific loss of olfactory receptor genes , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[7] P. Khatri,et al. Global functional profiling of gene expression ? ? This work was funded in part by a Sun Microsystem , 2003 .
[8] David W. Mount,et al. Pathway Miner: extracting gene association networks from molecular pathways for predicting the biological significance of gene expression microarray data , 2004, Bioinform..
[9] May D. Wang,et al. GoMiner: a resource for biological interpretation of genomic and proteomic data , 2003, Genome Biology.
[10] D. Damian,et al. Statistical concerns about the GSEA procedure , 2004, Nature Genetics.
[11] S. S. Young,et al. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .
[12] M. Daly,et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.
[13] Huey-miin Hsueh,et al. Comparison of Methods for Estimating the Number of True Null Hypotheses in Multiplicity Testing , 2003, Journal of biopharmaceutical statistics.
[14] Chris Sander,et al. Characterizing gene sets with FuncAssociate , 2003, Bioinform..
[15] Andrew B. Nobel,et al. Significance analysis of functional categories in gene expression studies: a structured permutation approach , 2005, Bioinform..
[16] Paolo Gasparini,et al. GOAL: automated Gene Ontology analysis of expression profiles , 2004, Nucleic Acids Res..
[17] Y. Benjamini,et al. Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics , 1999 .
[18] Patrik Edén,et al. Comparing Functional Annotation Analyses with Catmap Comparing Functional Annotation Analyses with Catmap , 2004 .
[19] Ji Huang,et al. [Serial analysis of gene expression]. , 2002, Yi chuan = Hereditas.
[20] Bing Zhang,et al. GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies , 2004, BMC Bioinformatics.
[21] Justin C. Fay,et al. Sequence divergence, functional constraint, and selection in protein evolution. , 2003, Annual review of genomics and human genetics.
[22] John N. Weinstein,et al. High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID) , 2005, BMC Bioinformatics.
[23] Yoav Benjamini,et al. Identifying differentially expressed genes using false discovery rate controlling procedures , 2003, Bioinform..
[24] Yongchao Ge. Resampling-based Multiple Testing for Microarray Data Analysis , 2003 .
[25] P. Park,et al. Discovering statistically significant pathways in expression profiling studies. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[26] Andrew Young,et al. OntologyTraverser: an R package for GO analysis , 2005, Bioinform..
[27] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[28] Francesco Pinciroli,et al. GFINDer: Genome Function INtegrated Discoverer through dynamic annotation, statistical analysis, and mining , 2004, Nucleic Acids Res..
[29] T. Speed,et al. GOstat: find statistically overrepresented Gene Ontologies within a group of genes. , 2004, Bioinformatics.
[30] Joaquín Dopazo,et al. FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes , 2004, Bioinform..
[31] K. Manly,et al. Genomics, prior probability, and statistical tests of multiple hypotheses. , 2004, Genome research.
[32] Thomas Lengauer,et al. Improved scoring of functional groups from gene expression data by decorrelating GO graph structure , 2006, Bioinform..
[33] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[34] C. V. Jongeneel,et al. eVOC: a controlled vocabulary for unifying gene expression data. , 2003, Genome research.
[35] Daniel L. Hartl,et al. GeneMerge - Post-genomic Analysis, Data Mining, and Hypothesis Testing , 2003, Bioinform..
[36] M. Kreitman,et al. Adaptive protein evolution at the Adh locus in Drosophila , 1991, Nature.