<p>(A) Empirical (blue) and permutation-based (red) distributions of Pearson correlations from each half of the data, comparing all pairs of miRNAs (solid lines) and comparing all pairs of high-entropy miRNAs (dashed lines). (B) Empirical (blue) and permutation-based (red) distributions of Bayesian correlations from each half of the data, comparing all pairs of miRNAs (solid lines) and comparing all pairs of high-entropy miRNAs (dashed lines). (C) Estimated false discovery rates (red, based on permutations) and empirical false discovery rates (blue, taking other half of the data as gold standard) at varying Pearson correlation thresholds. (D) Estimated false discovery rates (red, based on permutations) and empirical false discovery rates (b...
<p>Correlation networks based on 16S rRNA gene survey data collected as part of the Human Microbiome...
Co-expression networks have long been used as a tool for investigating the molecular circuitry gover...
<p>To date testing interactions in high dimensions is a challenging task. Existing methods often hav...
In literature there are several studies on the performance of Bayesian network structure learning al...
<p>(A) Empirical distributions of Bayesian and permuted correlations. (B) The network obtained at a ...
Generating insights about a null hypothesis requires not only a good dataset, but also statistical t...
We introduce and explore an approach to estimating statisticalsignificance of classification accurac...
<p>Basis data was simulated with a known correlation structure. OTU counts were generated by randoml...
Doctor of PhilosophyDepartment of StatisticsGary L. GadburyMultiple testing research has undergone r...
Permutation tests are widely used to test null hypotheses with animal social network data, but suffe...
Contemporary genetic association studies may test hundreds of thousands of genetic variants for asso...
Contemporary genetic association studies may test hundreds of thousands of genetic variants for asso...
<div><p>Evaluating the similarity of different measured variables is a fundamental task of statistic...
Evaluating the similarity of different measured variables is a fundamental task of statistics, and a...
This thesis is divided into three main parts. In the first, we discuss that, although permutation te...
<p>Correlation networks based on 16S rRNA gene survey data collected as part of the Human Microbiome...
Co-expression networks have long been used as a tool for investigating the molecular circuitry gover...
<p>To date testing interactions in high dimensions is a challenging task. Existing methods often hav...
In literature there are several studies on the performance of Bayesian network structure learning al...
<p>(A) Empirical distributions of Bayesian and permuted correlations. (B) The network obtained at a ...
Generating insights about a null hypothesis requires not only a good dataset, but also statistical t...
We introduce and explore an approach to estimating statisticalsignificance of classification accurac...
<p>Basis data was simulated with a known correlation structure. OTU counts were generated by randoml...
Doctor of PhilosophyDepartment of StatisticsGary L. GadburyMultiple testing research has undergone r...
Permutation tests are widely used to test null hypotheses with animal social network data, but suffe...
Contemporary genetic association studies may test hundreds of thousands of genetic variants for asso...
Contemporary genetic association studies may test hundreds of thousands of genetic variants for asso...
<div><p>Evaluating the similarity of different measured variables is a fundamental task of statistic...
Evaluating the similarity of different measured variables is a fundamental task of statistics, and a...
This thesis is divided into three main parts. In the first, we discuss that, although permutation te...
<p>Correlation networks based on 16S rRNA gene survey data collected as part of the Human Microbiome...
Co-expression networks have long been used as a tool for investigating the molecular circuitry gover...
<p>To date testing interactions in high dimensions is a challenging task. Existing methods often hav...