<p>Bayesian cluster analysis of genes with ‘lipid metabolism’ gene ontology resulted in 6 clusters (A, B, C, D, E, and F) with distinct time profiles. Individual gene expression profiles are shown as dotted lines. The bold line represents the cluster average.</p
<p>(A) Centroid plots with mean and standard deviation of the expression values [Ln(meancenteredFPKM...
<p>Heat map reflecting the mean gene expression values in the four different treatment groups: From ...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>Bayesian cluster analysis of genes with ‘inflammation’ gene ontology resulted in 4 clusters A, B,...
<p>The nine clusters are presented in B (K1 - K9). The error bars represent the standard deviation.<...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>The number of genes and their respective percentage of the total considered in this analysis (11,...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
The use of clustering methods has rapidly become one of the standard computational approaches to und...
<p>The Cluster analysis was performed using Hierarchical cluster analysis. Rows represent differenti...
<p>Graphs show normalised log expression values (centered around a mean value of zero) over the time...
<p>Hierarchical cluster analysis was performed as described in the Materials and Methods section. Ea...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Forty-seven genes were grouped into four main clusters (labelled Profile 1–4) according to their ...
<p>(A) The 1147 genes that exceeded 200 bp in length, exhibited an RPKM of at least 4 in one sample,...
<p>(A) Centroid plots with mean and standard deviation of the expression values [Ln(meancenteredFPKM...
<p>Heat map reflecting the mean gene expression values in the four different treatment groups: From ...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>Bayesian cluster analysis of genes with ‘inflammation’ gene ontology resulted in 4 clusters A, B,...
<p>The nine clusters are presented in B (K1 - K9). The error bars represent the standard deviation.<...
<p>All the genes categorized into 20 clusters and again grouped together to make 7 groups, based on ...
<p>The number of genes and their respective percentage of the total considered in this analysis (11,...
(A) Clusters one to three represent kinetics of up-regulated genes, (B) whereas clusters four to eig...
The use of clustering methods has rapidly become one of the standard computational approaches to und...
<p>The Cluster analysis was performed using Hierarchical cluster analysis. Rows represent differenti...
<p>Graphs show normalised log expression values (centered around a mean value of zero) over the time...
<p>Hierarchical cluster analysis was performed as described in the Materials and Methods section. Ea...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Forty-seven genes were grouped into four main clusters (labelled Profile 1–4) according to their ...
<p>(A) The 1147 genes that exceeded 200 bp in length, exhibited an RPKM of at least 4 in one sample,...
<p>(A) Centroid plots with mean and standard deviation of the expression values [Ln(meancenteredFPKM...
<p>Heat map reflecting the mean gene expression values in the four different treatment groups: From ...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...