<p>SNPs were divided into 6 models based on MAF or haplotype. AUC (A) and TPR (B) were calculated using a training dataset and a test dataset. Each model was examined using MAs with different asymptotic P-value from the logistic regression test.</p
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>We separately evaluated its prediction performance for single-isoform genes and multiple-isoform ...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p>Results of the logistic regression model analysis for the relationship between <i>MITF</i> haplot...
<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SN...
Historically, logistic regression has been the standard for binary response classification in biomet...
textabstractVarious modeling methods have been proposed to estimate the potential predictive ability...
Various modeling methods have been proposed to estimate the potential predictive ability of polygeni...
Classic regression approaches with forward and/or backward stepwise selection yield the highest AUC....
We fit 500 models with 500 subsets of 25 randomly selected features from the uncorrelated 4800 featu...
<p>The dendrogram and heatmap on top show hierarchical clustering (average linkage) of the 99 sample...
<p>Each row represents a clinical phenotype and consists of 130 cells, each of which represents a Pe...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
(A) Comparison of predictive performance for each gene (R2) between each pair of populations. Predic...
<p>Each row represents a phenotype predicted with AUC>0.7 by genome sequence (<a href="http://www.pl...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>We separately evaluated its prediction performance for single-isoform genes and multiple-isoform ...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p>Results of the logistic regression model analysis for the relationship between <i>MITF</i> haplot...
<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SN...
Historically, logistic regression has been the standard for binary response classification in biomet...
textabstractVarious modeling methods have been proposed to estimate the potential predictive ability...
Various modeling methods have been proposed to estimate the potential predictive ability of polygeni...
Classic regression approaches with forward and/or backward stepwise selection yield the highest AUC....
We fit 500 models with 500 subsets of 25 randomly selected features from the uncorrelated 4800 featu...
<p>The dendrogram and heatmap on top show hierarchical clustering (average linkage) of the 99 sample...
<p>Each row represents a clinical phenotype and consists of 130 cells, each of which represents a Pe...
Thesis (Ph.D.)--Boston UniversityPLEASE NOTE: Boston University Libraries did not receive an Authori...
(A) Comparison of predictive performance for each gene (R2) between each pair of populations. Predic...
<p>Each row represents a phenotype predicted with AUC>0.7 by genome sequence (<a href="http://www.pl...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>We separately evaluated its prediction performance for single-isoform genes and multiple-isoform ...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
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