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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 471 - 480 of 775
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Developing a Discrimination Rule between Breast Cancer Patients and Controls Using Proteomics Mass Spectrometric Data: A Three-Step Approach
Geert, Heidema A.; Nico, Nagelkerke - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 2, pp. 1-11
To discriminate between breast cancer patients and controls, we used a three-step approach to obtain our decision rule. First, we ranked the mass/charge values using random forests, because it generates importance indices that take possible interactions into account. We observed that the top...
Persistent link: https://www.econbiz.de/10008460340
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Case-Control Breast Cancer Study of MALDI-TOF Proteomic Mass Spectrometry Data on Serum Samples
van der Werff Martijn P. J.; Bart, Mertens; E, de Noo Mirre - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 2, pp. 1-14
We introduce mass spectrometry proteomic research for diagnosis from a clinical perspective, with special reference to early-stage breast cancer detection. The nature of SELDI and MALDI mass spectrometric measurement is discussed. We explain how the mass spectral data arising from this...
Persistent link: https://www.econbiz.de/10008460343
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Adaptive Choice of the Number of Bootstrap Samples in Large Scale Multiple Testing
Wenge, Guo; Shyamal, Peddada - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 1, pp. 1-21
It is a common practice to use resampling methods such as the bootstrap for calculating the p-value for each test when performing large scale multiple testing. The precision of the bootstrap p-values and that of the false discovery rate (FDR) relies on the number of bootstraps used for testing...
Persistent link: https://www.econbiz.de/10008460347
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A SNP Streak Model for the Identification of Genetic Regions Identical-by-descent
Gregory, Leibon; N, Rockmore Daniel; R, Pollak Martin - In: Statistical Applications in Genetics and Molecular Biology 7 (2008) 1, pp. 1-19
The availability of very dense genetic maps is changing in a fundamental way the methods used to identify the genetic basis of both rare and common inherited traits. The ability to directly compare the genomes of two related individuals and quickly identify those regions that are inherited...
Persistent link: https://www.econbiz.de/10008460348
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Comparing Bacterial DNA Microarray Fingerprints
Willse, Alan; Chandler, Darrell; White, Amanda; Protic, … - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 19-19
Epidemiologic and forensic investigations often require assays to detect subtle genetic differences between closely related microorganisms. Typically, gel electrophoresis is used to compare randomly amplified DNA fragments between microbial samples, where the patterns of DNA fragment sizes are...
Persistent link: https://www.econbiz.de/10005459149
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Parameter estimation for the calibration and variance stabilization of microarray data
Huber, Wolfgang; Heydebreck, Anja von; Sueltmann, Holger; … - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 3-3
We derive and validate an estimator for the parameters of a transformation for the joint calibration (normalization) and variance stabilization of microarray intensity data. With this, the variances of the transformed intensities become approximately independent of their expected values. The...
Persistent link: https://www.econbiz.de/10005459150
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Parameter Estimation for the Exponential-Normal Convolution Model for Background Correction of Affymetrix GeneChip Data
McGee, Monnie; Chen, Zhongxue - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 24-24
There are many methods of correcting microarray data for non-biological sources of error. Authors routinely supply software or code so that interested analysts can implement their methods. Even with a thorough reading of associated references, it is not always clear how requisite parts of the...
Persistent link: https://www.econbiz.de/10005459151
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Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution
Shin, Ji-Hyung; McNeney, Brad; Graham, Jinko - In: Statistical Applications in Genetics and Molecular Biology 6 (2007) 1, pp. 13-13
In genetic association studies, there is increasing interest in understanding the joint effects of genetic and nongenetic factors. For rare diseases, the case-control study is a practical design, and logistic regression is the standard method of inference. However, the power to detect...
Persistent link: https://www.econbiz.de/10005459152
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A Heuristic Bayesian Method for Segmenting DNA Sequence Alignments and Detecting Evidence for Recombination and Gene Conversion
Kedzierska, Anna; Husmeier, Dirk - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 27-27
We propose a heuristic approach to the detection of evidence for recombination and gene conversion in multiple DNA sequence alignments. The proposed method consists of two stages. In the first stage, a sliding window is moved along the DNA sequence alignment, and phylogenetic trees are sampled...
Persistent link: https://www.econbiz.de/10005459153
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Incorporating Biological Information as a Prior in an Empirical Bayes Approach to Analyzing Microarray Data
Pan, Wei - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 12-12
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of incorporating biological knowledge into statistical analysis to improve statistical power and...
Persistent link: https://www.econbiz.de/10005459154
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