Detection of Simultaneous Group Effects in MicroRNA Expression and Related Target Gene Sets
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Tim Beißbarth | Klaus Jung | Annalen Bleckmann | T. Beißbarth | A. Bleckmann | Stephan Artmann | K. Jung | Stephan Artmann | T. Beissbarth
[1] Chi-Ying F. Huang,et al. miRTarBase: a database curates experimentally validated microRNA–target interactions , 2010, Nucleic Acids Res..
[2] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[3] Y. Asmann,et al. miRNA Expression in Colon Polyps Provides Evidence for a Multihit Model of Colon Cancer , 2011, PloS one.
[4] Stijn van Dongen,et al. miRBase: tools for microRNA genomics , 2007, Nucleic Acids Res..
[5] G. Calin,et al. Complex Patterns of Altered MicroRNA Expression during the Adenoma-Adenocarcinoma Sequence for Microsatellite-Stable Colorectal Cancer , 2011, Clinical Cancer Research.
[6] S. Dudoit,et al. Multiple Hypothesis Testing in Microarray Experiments , 2003 .
[7] J. Barker,et al. Integrating microRNA and mRNA expression profiles of neuronal progenitors to identify regulatory networks underlying the onset of cortical neurogenesis , 2009, BMC Neuroscience.
[8] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[9] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[10] M. Kendall. Statistical Methods for Research Workers , 1937, Nature.
[11] S. Stouffer. Adjustment during army life , 1977 .
[12] Anton J. Enright,et al. Reciprocal regulation of microRNA and mRNA profiles in neuronal development and synapse formation , 2009, BMC Genomics.
[13] Gordon K Smyth,et al. Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .
[14] Guillemette Marot,et al. Statistical Applications in Genetics and Molecular Biology Sequential Analysis for Microarray Data Based on Sensitivity and Meta-Analysis , 2011 .
[15] Sergio Contrino,et al. ArrayExpress—a public repository for microarray gene expression data at the EBI , 2004, Nucleic Acids Res..
[16] H. Le,et al. Comparative Expression Profile of miRNA and mRNA in Primary Peripheral Blood Mononuclear Cells Infected with Human Immunodeficiency Virus (HIV-1) , 2011, PloS one.
[17] Peter N. Robinson,et al. GOing Bayesian: model-based gene set analysis of genome-scale data , 2010, Nucleic acids research.
[18] Gary A. Churchill,et al. Analysis of Variance for Gene Expression Microarray Data , 2000, J. Comput. Biol..
[19] Alex E. Lash,et al. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..
[20] L. Lim,et al. MicroRNA targeting specificity in mammals: determinants beyond seed pairing. , 2007, Molecular cell.
[21] Tsung-Cheng Chang,et al. microRNAs in vertebrate physiology and human disease. , 2007, Annual review of genomics and human genetics (Print).
[22] Kim W. Carter,et al. Integrated Analysis of miRNA and mRNA Expression in Childhood Medulloblastoma Compared with Neural Stem Cells , 2011, PloS one.
[23] Terence P. Speed,et al. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias , 2003, Bioinform..
[24] Di Wu,et al. ROAST: rotation gene set tests for complex microarray experiments , 2010, Bioinform..
[25] U. Mansmann,et al. Testing Differential Gene Expression in Functional Groups , 2005, Methods of Information in Medicine.
[26] John D. Storey,et al. Empirical Bayes Analysis of a Microarray Experiment , 2001 .
[27] 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.
[28] Edgar Brunner,et al. Comparison of global tests for functional gene sets in two-group designs and selection of potentially effect-causing genes , 2011, Bioinform..
[29] G. A. Whitmore,et al. Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[30] H. Horvitz,et al. MicroRNA expression profiles classify human cancers , 2005, Nature.
[31] Xinxia Peng,et al. Computational identification of hepatitis C virus associated microRNA-mRNA regulatory modules in human livers , 2009, BMC Genomics.
[32] Belinda Phipson,et al. Opposing roles of polycomb repressive complexes in hematopoietic stem and progenitor cells. , 2010, Blood.
[33] Peter Bühlmann,et al. Analyzing gene expression data in terms of gene sets: methodological issues , 2007, Bioinform..
[34] Jelle J. Goeman,et al. A global test for groups of genes: testing association with a clinical outcome , 2004, Bioinform..
[35] Ulrich Mansmann,et al. GlobalANCOVA: exploration and assessment of gene group effects , 2008, Bioinform..
[36] Ulrich Mansmann,et al. Multiple testing on the directed acyclic graph of gene ontology , 2008, Bioinform..
[37] Øyvind Langsrud,et al. Rotation tests , 2005, Stat. Comput..