<p>The left heatmap displays the expression of the 5,000 most variable probes before correction by surrogate variable analysis. The right heatmap displays the expression of the 5,000 probes after correction by surrogate variable analysis. Rows display arrays and columns reflect probes. Arrays are clustered by hierarchical clustering. Black lines reflect patients and grey lines control subject. Red lines display array hybridized on Illumina’s HumanHT-12 version 3 BeadChips and blue lines those hybridized on version 4. Before SVA correction, arrays are perfectly clustered based on the platform used: after SVA correction, these batch effects are corrected for.</p
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>The heat map depicts expression signal values for 39 Affymetrix Human U133_X3P probe sets detecte...
The color green indicates relatively high expression, while red indicates relatively low expression....
Description The sva package contains functions for removing batch effects and other unwanted variati...
Description The sva package contains functions for removing batch effects and other unwanted varia-t...
Heatmaps show the influences on each surrogate variable (SV) of known covariates and estimated cell ...
It has unambiguously been shown that genetic, environmental, demographic, and technical factors may ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
Batch effects are responsible for the failure of promising genomic prognostic signatures, major ambi...
It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically r...
<p>Cluster analysis heatmap of the expression levels (ΔCq values) of 21 differentially expressed mRN...
<p>Heat map based on 8,210 genes of 71 liver samples (HCV-related HCC, non-HCC counterpart, metastas...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically r...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>The heat map depicts expression signal values for 39 Affymetrix Human U133_X3P probe sets detecte...
The color green indicates relatively high expression, while red indicates relatively low expression....
Description The sva package contains functions for removing batch effects and other unwanted variati...
Description The sva package contains functions for removing batch effects and other unwanted varia-t...
Heatmaps show the influences on each surrogate variable (SV) of known covariates and estimated cell ...
It has unambiguously been shown that genetic, environmental, demographic, and technical factors may ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
Batch effects are responsible for the failure of promising genomic prognostic signatures, major ambi...
It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically r...
<p>Cluster analysis heatmap of the expression levels (ΔCq values) of 21 differentially expressed mRN...
<p>Heat map based on 8,210 genes of 71 liver samples (HCV-related HCC, non-HCC counterpart, metastas...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
It is now known that unwanted noise and unmodeled artifacts such as batch effects can dramatically r...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>The heat map depicts expression signal values for 39 Affymetrix Human U133_X3P probe sets detecte...
The color green indicates relatively high expression, while red indicates relatively low expression....