<p>Individual miRNA expression were calculated by R platform and heat map was computed and described using a function of heatmap.2 in gplots. It uses hierarchical clustering with Euclidean distance; Pearson Linear Correlation and Ward's method to generate the hierarchical tree <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066086#pone.0066086-Ward1" target="_blank">[56]</a>. ANOVA was applied to extract differentially expressed miRNAs and adjustment of the p-value by multiple comparisons was performed by calculating FDR. Those miRNAs with FDR<0.1 were presented. The red indicates high level of miRNA expression and the blue shows low.</p
<p>The bar represents the scale of the expression abundance for each miRNA (log<sub>2</sub> TPM of t...
<p>An unsupervised hierarchical cluster analysis was performed on differentially expressed microRNAs...
<p>Left, the miRNA clustering tree; top, the sample clustering tree. Red indicates high relative exp...
<p>miRNAs included in the heat-map had a fold change >±2 and were significantly expressed (<i>p</i><...
<p>a) Relative expression levels of 50 miRNAs that were expressed in all 30 matched tissue samples w...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
Expression across each miRNA has been scaled so that mean expression is zero and standard deviation ...
<p>A) The heatmap is supervised, and is ordered by the type of IPMN, and shows the expression for th...
<p>Hierarchical cluster heat maps of significantly dysregulated miRs in PANC-1-GR late and early cel...
<p>The heat map was drawn with log<sub>10</sub>NE of each miRNA. Green, black and red indicate low f...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>The set of miRNAs used for analysis was chosen based on significance in at least 5 hybridizations...
<p>A two-way hierarchical clustering was performed to generate the heatmap. Each row represents a mi...
<p>In order to perform hierarchical cluster analysis we constructed a distance matrix using the two-...
<p>Heatmaps was performed with the GENE-E module from GenePattern tool version 3.9.1. The blue bar i...
<p>The bar represents the scale of the expression abundance for each miRNA (log<sub>2</sub> TPM of t...
<p>An unsupervised hierarchical cluster analysis was performed on differentially expressed microRNAs...
<p>Left, the miRNA clustering tree; top, the sample clustering tree. Red indicates high relative exp...
<p>miRNAs included in the heat-map had a fold change >±2 and were significantly expressed (<i>p</i><...
<p>a) Relative expression levels of 50 miRNAs that were expressed in all 30 matched tissue samples w...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
Expression across each miRNA has been scaled so that mean expression is zero and standard deviation ...
<p>A) The heatmap is supervised, and is ordered by the type of IPMN, and shows the expression for th...
<p>Hierarchical cluster heat maps of significantly dysregulated miRs in PANC-1-GR late and early cel...
<p>The heat map was drawn with log<sub>10</sub>NE of each miRNA. Green, black and red indicate low f...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>The set of miRNAs used for analysis was chosen based on significance in at least 5 hybridizations...
<p>A two-way hierarchical clustering was performed to generate the heatmap. Each row represents a mi...
<p>In order to perform hierarchical cluster analysis we constructed a distance matrix using the two-...
<p>Heatmaps was performed with the GENE-E module from GenePattern tool version 3.9.1. The blue bar i...
<p>The bar represents the scale of the expression abundance for each miRNA (log<sub>2</sub> TPM of t...
<p>An unsupervised hierarchical cluster analysis was performed on differentially expressed microRNAs...
<p>Left, the miRNA clustering tree; top, the sample clustering tree. Red indicates high relative exp...