Four plots generated by ComBat to correct for batch effects. For the left panel plots, the red lines are the parametric estimates, and the black lines are the kernel estimates for the distribution of effects across genes. The right panel shows Q-Q plots with the red line for the parametric estimate and the ordered batch effects for each gene (black points). The bottom plots show the analyses for the variances and the top plots refers to the means. Plots were generated for batches TSS E9 and E2 to avoid batches containing only one sample.</p
<p>Multiple testing procedures visualization plots are displayed for comparison of the differences i...
<p>The x-axis represents the estimated effect sizes in mean differences. The horizontal lines show t...
<p>A typical example of a fitted crop response trial with experimental (blue line with circles) and ...
Mean and variances from screens: Statistical analysis of batches assayed for each genotype in the fu...
<p>A simple batch effect dataset was simulated and visualized. This data has 5 dimensions, with 2 in...
<p>(a) different batches and different laboratories; (b) the same laboratory but different batches; ...
Batch effect correction improves dataset quality. NMDS plot (A) based on filtered, normalized read c...
This file contains all Supporting Information referenced in the paper. A Description of existing bat...
Batch effects are technical sources of variation introduced by the necessity of conducting gene expr...
The expression microarray is a frequently used approach to study gene expression on a genome-wide sc...
Batch effects are technical sources of variation introduced by the necessity of conducting gene expr...
<p>Shown is the accuracy measure (scatter plots, left) and an example (histograms, right) across com...
<p>A: Effect size is displayed along the x-axis at log<sub>2</sub> scale and the y-axis shows the ne...
Abstract Background Combining genomic data sets from multiple studies is advantageous to increase st...
<p>Overall gene expression was corrected for batch effects by either <i>ReplicateRUV</i> or <i>ComBa...
<p>Multiple testing procedures visualization plots are displayed for comparison of the differences i...
<p>The x-axis represents the estimated effect sizes in mean differences. The horizontal lines show t...
<p>A typical example of a fitted crop response trial with experimental (blue line with circles) and ...
Mean and variances from screens: Statistical analysis of batches assayed for each genotype in the fu...
<p>A simple batch effect dataset was simulated and visualized. This data has 5 dimensions, with 2 in...
<p>(a) different batches and different laboratories; (b) the same laboratory but different batches; ...
Batch effect correction improves dataset quality. NMDS plot (A) based on filtered, normalized read c...
This file contains all Supporting Information referenced in the paper. A Description of existing bat...
Batch effects are technical sources of variation introduced by the necessity of conducting gene expr...
The expression microarray is a frequently used approach to study gene expression on a genome-wide sc...
Batch effects are technical sources of variation introduced by the necessity of conducting gene expr...
<p>Shown is the accuracy measure (scatter plots, left) and an example (histograms, right) across com...
<p>A: Effect size is displayed along the x-axis at log<sub>2</sub> scale and the y-axis shows the ne...
Abstract Background Combining genomic data sets from multiple studies is advantageous to increase st...
<p>Overall gene expression was corrected for batch effects by either <i>ReplicateRUV</i> or <i>ComBa...
<p>Multiple testing procedures visualization plots are displayed for comparison of the differences i...
<p>The x-axis represents the estimated effect sizes in mean differences. The horizontal lines show t...
<p>A typical example of a fitted crop response trial with experimental (blue line with circles) and ...