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PLS Dimension Reduction for Classification with Microarray Data
Boulesteix, Anne-Laure - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 33-33
-of-the-art classification methods. Moreover, a boosting algorithm is applied to this classification method. In addition, a simple procedure to …
Persistent link: https://www.econbiz.de/10005246497
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Balanced Gradient Boosting from Imbalanced Data for Clinical Outcome Prediction
Teramoto, Reiji - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 20-20
problem, we proposed balanced gradient boosting (BalaBoost) which reformulates gradient boosting to avoid the overfitting to … outperformed the representative supervised learning algorithms, i.e., gradient boosting, Random Forests and Support Vector Machine …
Persistent link: https://www.econbiz.de/10005046618
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PLS Dimension Reduction for Classification with Microarray Data
Boulesteix, Anne-Laure - In: Statistical Applications in Genetics and Molecular Biology 3 (2009) 1, pp. 33-33
-of-the-art classification methods. Moreover, a boosting algorithm is applied to this classification method. In addition, a simple procedure to …
Persistent link: https://www.econbiz.de/10005046627
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Stepwise Normalization of Two-Channel Spotted Microarrays
Xiao, Yuanyuan; Segal, Mark; Yang, Yee Hwa - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 4-4
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/10005246456
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Model Selection for Mixtures of Mutagenetic Trees
Yin, Junming; Beerenwinkel, Niko; Rahnenführer, Jörg; … - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 17-17
The evolution of drug resistance in HIV is characterized by the accumulation of resistance-associated mutations in the HIV genome. Mutagenetic trees, a family of restricted Bayesian tree models, have been applied to infer the order and rate of occurrence of these mutations. Understanding and...
Persistent link: https://www.econbiz.de/10005046581
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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 (2009) 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...
Persistent link: https://www.econbiz.de/10005046582
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Asymptotic Optimality of Likelihood-Based Cross-Validation
Laan, Mark van der; Dudoit, Sandrine; Keles, Sunduz - In: Statistical Applications in Genetics and Molecular Biology 3 (2009) 1, pp. 4-4
Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d. observations from the true density among a collection of candidate density estimators. General examples are the selection of a model indexing a maximum likelihood estimator, and the...
Persistent link: https://www.econbiz.de/10005046590
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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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Reverse Engineering Galactose Regulation in Yeast through Model Selection
Thorsson, Vesteinn; Hörnquist, Michael; Siegel, Andrew; … - In: Statistical Applications in Genetics and Molecular Biology 4 (2007) 1, pp. 28-28
We examine the application of statistical model selection methods to reverse-engineering the control of galactose utilization in yeast from DNA microarray experiment data. In these experiments, relationships among gene expression values are revealed through modifications of galactose sugar level...
Persistent link: https://www.econbiz.de/10005459170
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Asymptotic Optimality of Likelihood-Based Cross-Validation
Laan, Mark van der; Dudoit, Sandrine; Keles, Sunduz - In: Statistical Applications in Genetics and Molecular Biology 3 (2007) 1, pp. 4-4
Likelihood-based cross-validation is a statistical tool for selecting a density estimate based on n i.i.d. observations from the true density among a collection of candidate density estimators. General examples are the selection of a model indexing a maximum likelihood estimator, and the...
Persistent link: https://www.econbiz.de/10005752553