<p>Individual genes are colored according to expression ratio. CP samples cluster separately from typically developing controls, except for one subject. Both subject sample being clustered together indicates relatively little variability between gracilis and semitendinosus biopsies from the same subject. Table contains Subject ID in row 1 and either typically developing (TD) or CP (CP) in row 2.</p
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
Motivation: Genes often regulate multiple traits. Identifying clusters of traits influenced by a com...
<p><b>A</b>. A heat map of the bivariate correlation matrix of gene expression levels representing P...
<p><i>A</i>) <b><i>Hierarchical clustering:</i></b> Neighbor joining tree based on pairwise distance...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>A) Tree analysis. Clustering analysis based on the 30,146 probes corresponding to 17,163 unique g...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
<p>Heatmaps of adjusted Pearson correlations for 665 DVIGs in <b>(A)</b> development, <b>(B)</b> pre...
<p>500 DMS above and below mean level are represented by blue and yellow across all cases and were u...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
(A) Hierarchical clustering of all pairs according to their genetic interaction effects after slow g...
The horizontal colour bar denotes the log2 expression value. The extent of the dissimilarity (equal ...
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
Motivation: Genes often regulate multiple traits. Identifying clusters of traits influenced by a com...
<p><b>A</b>. A heat map of the bivariate correlation matrix of gene expression levels representing P...
<p><i>A</i>) <b><i>Hierarchical clustering:</i></b> Neighbor joining tree based on pairwise distance...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>A) Tree analysis. Clustering analysis based on the 30,146 probes corresponding to 17,163 unique g...
<p>The 98 quantative traits are classified into clusters inferred from genetic correlations between ...
<p>Heatmaps of adjusted Pearson correlations for 665 DVIGs in <b>(A)</b> development, <b>(B)</b> pre...
<p>500 DMS above and below mean level are represented by blue and yellow across all cases and were u...
<p>Genes that share similar expression profiles across conditions are grouped together by clustering...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
(A) Hierarchical clustering of all pairs according to their genetic interaction effects after slow g...
The horizontal colour bar denotes the log2 expression value. The extent of the dissimilarity (equal ...
<p>A. Hierarchical clustering for the normalized data. Biological replicate samples cluster closely ...
Motivation: Genes often regulate multiple traits. Identifying clusters of traits influenced by a com...
<p><b>A</b>. A heat map of the bivariate correlation matrix of gene expression levels representing P...