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  • Search: isPartOf:"Statistical Applications in Genetics and Molecular Biology"
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multiple testing 28 gene expression 21 microarray 15 microarrays 14 bootstrap 11 false discovery rate 11 classification 10 null distribution 10 variable selection 10 cross-validation 9 Type I error rate 8 asymptotic control 8 model selection 8 prediction 7 Adjusted p-value 6 empirical Bayes 6 Microarrays 5 censoring 5 consistency 5 differential expression 5 machine learning 5 maximum likelihood 5 meta-analysis 5 multiple comparisons 5 normalization 5 EM algorithm 4 FDR 4 Markov chain Monte Carlo 4 SNP 4 augmentation 4 case-control 4 clustering 4 cut-off 4 family-wise error rate 4 generalized family-wise error rate 4 genetics 4 hidden Markov model 4 loss-based estimation 4 mass spectrometry 4 microarray analysis 4
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Undetermined 775
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Article 775
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Laan, Mark van der 35 van der Laan Mark J. 19 Dudoit, Sandrine 12 Hubbard, Alan 10 Pollard, Katherine 9 Rongling, Wu 9 Sinisi, Sandra 8 Bickel David R. 7 Keles, Sunduz 7 R, Segal Mark 7 Sandrine, Dudoit 7 Birkner, Merrill 6 Derek, Gordon 6 Dirk, Husmeier 6 J, Finch Stephen 6 Joseph, Beyene 6 Segal, Mark 6 Hubbard Alan E. 5 Sunduz, Keles 5 Thomas, Lengauer 5 Tomasz, Burzykowski 5 Ziv, Shkedy 5 Beyene, Joseph 4 Bickel, David 4 Boulesteix, Anne-Laure 4 Brad, McNeney 4 Burzykowski, Tomasz 4 Chad, Haynes 4 Dan, Lin 4 Eisen, Michael 4 Hongyu, Zhao 4 Jinko, Graham 4 Paul, Joyce 4 Pollard Katherine S. 4 Polley, Eric 4 Shkedy, Ziv 4 Smith, Martyn 4 Sylvia, Richardson 4 Tibshirani Robert J. 4 Wu, Rongling 4
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Statistical Applications in Genetics and Molecular Biology 775
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RePEc 775
Showing 101 - 110 of 775
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The Beta-Binomial SGoF method for multiple dependent tests
Jacobo, de Uña-Alvarez - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-32
In this paper a correction of SGoF multitesting method for dependent tests is introduced. The correction is based in the beta-binomial model, and therefore the new method is called Beta-Binomial SGoF (or BB-SGoF). Main properties of the new method are established, and its practical...
Persistent link: https://www.econbiz.de/10011015961
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Combining Multiple Laser Scans of Spotted Microarrays by Means of a Two-Way ANOVA Model
Jérôme, Ambroise; Bertrand, Bearzatto; Annie, Robert; … - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-20
Motivation: Assessment of gene expression on spotted microarrays is based on measurement of fluorescence intensity emitted by hybridized spots. Unfortunately, quantifying fluorescence intensity from hybridized spots does not always correctly reflect gene expression level. Low gene expression...
Persistent link: https://www.econbiz.de/10011015963
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How to analyze many contingency tables simultaneously in genetic association studies
Thorsten, Dickhaus; Klaus, Straßburger; Daniel, Schunk; … - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 4, pp. 1-33
We study exact tests for (2 x 2) and (2 x 3) contingency tables, in particular exact chi-squared tests and exact tests of Fisher type. In practice, these tests are typically carried out without randomization, leading to reproducible results but not exhausting the significance level. We discuss...
Persistent link: https://www.econbiz.de/10011015964
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Exploring Multicollinearity Using a Random Matrix Theory Approach
Kristen, Feher; James, Whelan; Samuel, Müller - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-35
Clustering of gene expression data is often done with the latent aim of dimension reduction, by finding groups of genes that have a common response to potentially unknown stimuli. However, what is poorly understood to date is the behaviour of a low dimensional signal embedded in high dimensions....
Persistent link: https://www.econbiz.de/10011015970
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GENOVA: Gene Overlap Analysis of GWAS Results
Tang Clara S.; Ferreira Manuel A. R. - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-15
In many published genome-wide association studies (GWAS), the top few strongly associated variants are often located in or near known genes. This observation raises the more general hypothesis that variants nominally associated with a phenotype are more likely to overlap genes than those not...
Persistent link: https://www.econbiz.de/10009492992
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Graph Selection with GGMselect
Christophe, Giraud; Sylvie, Huet; Nicolas, Verzelen - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-52
Applications on inference of biological networks have raised a strong interest in the problem of graph estimation in high-dimensional Gaussian graphical models. To handle this problem, we propose a two-stage procedure which first builds a family of candidate graphs from the data, and then...
Persistent link: https://www.econbiz.de/10009492993
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Sample Size Calculations for Designing Clinical Proteomic Profiling Studies Using Mass Spectrometry
Nyangoma Stephen O.; Collins Stuart I.; Altman Douglas G.; … - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-42
In cancer clinical proteomics, MALDI and SELDI profiling are used to search for biomarkers of potentially curable early-stage disease. A given number of samples must be analysed in order to detect clinically relevant differences between cancers and controls, with adequate statistical power. From...
Persistent link: https://www.econbiz.de/10009492994
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A New Approach for the Joint Analysis of Multiple Chip-Seq Libraries with Application to Histone Modification
Ferguson John P.; Cho Judy H.; Hongyu, Zhao - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-21
Most approaches for analyzing ChIP-Seq data are focused on inferring exact protein binding sites from a single library. However, frequently multiple ChIP-Seq libraries derived from differing cell lines or tissue types from the same individual may be available. In such a situation, a separate...
Persistent link: https://www.econbiz.de/10009492995
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The Inheritance Procedure: Multiple Testing of Tree-structured Hypotheses
Goeman Jelle J.; Livio, Finos - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 1, pp. 1-18
Hypotheses tests in bioinformatics can often be set in a tree structure in a very natural way, e.g. when tests are performed at probe, gene, and chromosome level. Exploiting this graph structure in a multiple testing procedure may result in a gain in power or increased interpretability of the...
Persistent link: https://www.econbiz.de/10009492996
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Non-Iterative, Regression-Based Estimation of Haplotype Associations with Censored Survival Outcomes
Benjamin, French; Thomas, Lumley; Cappola Thomas P.; … - In: Statistical Applications in Genetics and Molecular Biology 11 (2012) 3, pp. 1-24
The general availability of reliable and affordable genotyping technology has enabled genetic association studies to move beyond small case-control studies to large prospective studies. For prospective studies, genetic information can be integrated into the analysis via haplotypes, with focus on...
Persistent link: https://www.econbiz.de/10009492997
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