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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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Undetermined 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 521 - 530 of 775
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Population Structure and Covariate Analysis Based on Pairwise Microsatellite Allele Matching Frequencies
Givens, Geof; Ozaksoy, Isin - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 31-31
We describe a general model for pairwise microsatellite allele matching probabilities. The model can be used for analysis of population substructure, and is particularly focused on relating genetic correlation to measurable covariates. The approach is intended for cases when the existence of...
Persistent link: https://www.econbiz.de/10005585073
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Super Learner
Laan, Mark van der; Polley, Eric; Hubbard, Alan - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 25-25
When trying to learn a model for the prediction of an outcome given a set of covariates, a statistician has many estimation procedures in their toolbox. A few examples of these candidate learners are: least squares, least angle regression, random forests, and spline regression. Previous articles...
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Concerns About Unreliable Data from Spotted cDNA Microarrays Due to Cross-Hybridization and Sequence Errors
Handley, Daniel; Serban, Nicoleta; Peters, David; … - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 25-25
We discuss our concerns regarding the reliability of data generated by spotted cDNA microarrays. Two types of error we highlight are cross-hybridization artifact due to sequence homologies and sequence errors in the cDNA used for spotting on microarrays. We feel that statisticians who analyze...
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On Reference Designs For Microarray Experiments
Steibel, Juan; Rosa, Guilherme - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 36-36
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...
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Weighted Analysis of Paired Microarray Experiments
Kristiansson, Erik; Anders Sjögren; Rudemo, Mats; … - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 30-30
In microarray experiments quality often varies, for example between samples and between arrays. The need for quality control is therefore strong. A statistical model and a corresponding analysis method is suggested for experiments with pairing, including designs with individuals observed before...
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Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics
Sinisi, Sandra; Laan, Mark van der - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 18-18
van der Laan and Dudoit (2003) provide a road map for estimation and performance assessment where a parameter of interest is defined as the risk minimizer for a suitable loss function and candidate estimators are generated using a loss function. After briefly reviewing this approach, this...
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Reproducible Research: A Bioinformatics Case Study
Gentleman, Robert - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 2-2
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...
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Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs
Nye, Tom; Berzuini, Carlo; Gilks, Walter; Babu, M. Madan; … - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 5-5
Experiments to determine the complete 3-dimensional structures of protein complexes are difficult to perform and only a limited range of such structures are available.In contrast, large-scale screening experiments have identified thousands of pairwise interactions between proteins, but such...
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Combining Nearest Neighbor Classifiers Versus Cross-Validation Selection
Paik, Minhui; Yang, Yuhong - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 12-12
Various discriminant methods have been applied for classification of tumors based on gene expression profiles, among which the nearest neighbor (NN) method has been reported to perform relatively well. Usually cross-validation (CV) is used to select the neighbor size as well as the number of...
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Dimension Reduction for Classification with Gene Expression Microarray Data
Dai, Jian; Lieu, Linh; Rocke, David - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 6-6
An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three...
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