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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 711 - 720 of 775
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On Reference Designs For Microarray Experiments
Steibel Juan P.; Rosa Guilherme J. M. - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-21
We compare four variants of the reference design for microarray experiments in terms of their relative efficiency. A common reference sample across arrays is the most extensively used variation in practice, but independent samples from a reference group have also been considered in previous...
Persistent link: https://www.econbiz.de/10008460226
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Empirical Bayes and Resampling Based Multiple Testing Procedure Controlling Tail Probability of the Proportion of False Positives.
van der Laan Mark J.; Birkner Merrill D.; Hubbard Alan E. - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-32
Simultaneously testing a collection of null hypotheses about a data generating distribution based on a sample of independent and identically distributed observations is a fundamental and important statistical problem involving many applications. In this article we propose a new re-sampling based...
Persistent link: https://www.econbiz.de/10008460229
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Correlation Between Gene Expression Levels and Limitations of the Empirical Bayes Methodology for Finding Differentially Expressed Genes
Xing, Qiu; Lev, Klebanov; Andrei, Yakovlev - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-32
Stochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test statistics across genes. The empirical Bayes methodology in the nonparametric and parametric formulations, as well as closely...
Persistent link: https://www.econbiz.de/10008460234
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Stepwise Normalization of Two-Channel Spotted Microarrays
Yuanyuan, Xiao; R, Segal Mark; Hwa, Yang Yee - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-31
Intensities measurements of spotted microarrays embody many undesirable systematic variations. Very commonly, varying amounts and types of such variations are observed in different arrays. Although various normalization methods have been proposed to remove such systematic effects, it has not...
Persistent link: https://www.econbiz.de/10008460237
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Reproducible Research: A Bioinformatics Case Study
Robert, Gentleman - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-25
While scientific research and the methodologies involved have gone through substantial technological evolution the technology involved in the publication of the results of these endeavors has remained relatively stagnant. Publication is largely done in the same manner today as it was fifty years...
Persistent link: https://www.econbiz.de/10008460239
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Statistical Inference in Evolutionary Models of DNA Sequences via the EM Algorithm
Asger, Hobolth; Ledet, Jensen Jens - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-22
We describe statistical inference in continuous time Markov processes of DNA sequences related by a phylogenetic tree. The maximum likelihood estimator can be found by the expectation maximization (EM) algorithm and an expression for the information matrix is also derived. We provide explicit...
Persistent link: https://www.econbiz.de/10008460240
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Continuous Covariates in Genetic Association Studies of Case-Parent Triads: Gene and Gene-Environment Interaction Effects, Population Stratification, and Power Analysis
Sooyeol, Lim; Joseph, Beyene; Greenwood Celia M. T. - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-27
We propose a multinomial logistic regression method which permits estimation and likelihood ratio tests for allele effects, their interactions with continuous covariates, and assessment of the degree of population stratification in genetic association studies of case-parent triads. Our approach...
Persistent link: https://www.econbiz.de/10008460242
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Comparing Automatic and Manual Image Processing in FLARE Assay Analysis for Colon Carcinogenesis
Malgorzata, Leyk; V, Nguyen Danh; N, Attoor Sanju; R, … - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-20
Measurement of the amount of oxidative damage to DNA is one tool that can be used to estimate the beneficial effect of diet on the prevention of colon carcinogenesis. The FLARE assay is a modification of the single-cell gel electrophoresis (Comet) assay, and provides a measure of the 8OHdG...
Persistent link: https://www.econbiz.de/10008460243
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A General Framework for Weighted Gene Co-Expression Network Analysis
Bin, Zhang; Steve, Horvath - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-45
Gene co-expression networks are increasingly used to explore the system-level functionality of genes. The network construction is conceptually straightforward: nodes represent genes and nodes are connected if the corresponding genes are significantly co-expressed across appropriately chosen...
Persistent link: https://www.econbiz.de/10008460249
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Empirical Bayes Estimation of a Sparse Vector of Gene Expression Changes
Stephen, Erickson; Chiara, Sabatti - In: Statistical Applications in Genetics and Molecular Biology 4 (2005) 1, pp. 1-27
Gene microarray technology is often used to compare the expression of thousand of genes in two different cell lines. Typically, one does not expect measurable changes in transcription amounts for a large number of genes; furthermore, the noise level of array experiments is rather high in...
Persistent link: https://www.econbiz.de/10008460260
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