Comparison of the single component regression model and mixture regression model for the CCLE dataset, where #gene denotes the total number of different genes selected by the model.</p
<p>Comparison of baseline characteristics of the EAS population used in genetic risk prediction mode...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
<p> of each gene in cpDNA-9 (A), cpDNA-55 (B), mammalian-mtDNA (C), human-mtDNA (D), and nDNA (E) fo...
The left column is for the single regression model, the middle column is for the mixture regression ...
The left column is for the single component regression model, and the right column is for the mixtur...
Linear regression models testing how DNA quantity and purity varied by tissue.</p
Comparison of variable selection results of different models for Brithwt dataset.</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>Gene -log10 p-values from the CD data gene analysis in MAGMA for three different gene test-statis...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Coefficient of residual variation (CVe, %), coefficient of genotypic variation (CVg, %) and relat...
<p>Note: ‘Gene’ is the corresponding gene for each SNP; ‘beta’ is the standardized regression coeffi...
Comparison of shared genes identified by selected methods on two independent PAAD datasets.</p
<p>Comparison of SNP and gene to pathway mappings for the SP2 and SiMES datasets.</p
<p>Comparison of regression methods relative to their ability to handle different types of data prob...
<p>Comparison of baseline characteristics of the EAS population used in genetic risk prediction mode...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
<p> of each gene in cpDNA-9 (A), cpDNA-55 (B), mammalian-mtDNA (C), human-mtDNA (D), and nDNA (E) fo...
The left column is for the single regression model, the middle column is for the mixture regression ...
The left column is for the single component regression model, and the right column is for the mixtur...
Linear regression models testing how DNA quantity and purity varied by tissue.</p
Comparison of variable selection results of different models for Brithwt dataset.</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>Gene -log10 p-values from the CD data gene analysis in MAGMA for three different gene test-statis...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Coefficient of residual variation (CVe, %), coefficient of genotypic variation (CVg, %) and relat...
<p>Note: ‘Gene’ is the corresponding gene for each SNP; ‘beta’ is the standardized regression coeffi...
Comparison of shared genes identified by selected methods on two independent PAAD datasets.</p
<p>Comparison of SNP and gene to pathway mappings for the SP2 and SiMES datasets.</p
<p>Comparison of regression methods relative to their ability to handle different types of data prob...
<p>Comparison of baseline characteristics of the EAS population used in genetic risk prediction mode...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
<p> of each gene in cpDNA-9 (A), cpDNA-55 (B), mammalian-mtDNA (C), human-mtDNA (D), and nDNA (E) fo...