<p>Hierarchical clustering of the 2414 contigs among 3 groups (from left to right: resistant, subclinical, clinical) using RPKM expression values from RNA-seq. We could identify 16 clusters vertically by visual inspection of the heat map.</p
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Hierarchical clustering was performed based on all differentially expressed gene data. The result...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>Heatmaps displays the log2(M) on a color scale from green indicating lower expression to red indi...
<p>Hierarchical clustering for the 80 HHT paired samples comparing the expression in telangiectasial...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>(A) hierarchical clustering of N group (DS: D11–D15 versus control: C16–C22) based on the 174 dys...
<p>A two–way clustering of normalized 454 sequence count data using Ward’s hierarchical cluster algo...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Rows in the heat map represent the five genes DEFA4, ELA2, CTSG, OLFM4, and AZU1, and columns rep...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Hierarchical clustering was performed based on all differentially expressed gene data. The result...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>The heatmap shows the result of the two-way hierarchical clustering of miRNAs from HBsAg particle...
<p>Heatmaps displays the log2(M) on a color scale from green indicating lower expression to red indi...
<p>Hierarchical clustering for the 80 HHT paired samples comparing the expression in telangiectasial...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>(A) hierarchical clustering of N group (DS: D11–D15 versus control: C16–C22) based on the 174 dys...
<p>A two–way clustering of normalized 454 sequence count data using Ward’s hierarchical cluster algo...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Rows in the heat map represent the five genes DEFA4, ELA2, CTSG, OLFM4, and AZU1, and columns rep...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...
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