The colors denote the groups according to the median dynamics clustering. The dotted lines are the clusters that emerge when all the samples are included (without adjustment of the different number of samples per strain). Most of the samples are assigned according to their median trajectory clustering (Macro accuracy of 0.77 and Macro F1 of 0.66). (TIF)</p
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>Hierarchical clustering of <i>Lens</i> core set accessions based on quantitative phenotypic data....
Each data point visualizes connected data of the sampling time points AP and PP for each sow in each...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
Each data point visualizes connected data of the sampling time points PP, SP and PW for each sow and...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
Each data point visualizes connected data of the sampling time points SP and PW for each piglet in e...
The number of new cases that join any cluster (ie. the total cluster growth) plotted against the bra...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Hierarchical clustering of <i>Lens</i> accessions based on qualitative phenotypic data.</p
<p>Numbers in the last three columns represent the most characteristic value in terms of phenotypic ...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>Hierarchical clustering of <i>Lens</i> core set accessions based on quantitative phenotypic data....
Each data point visualizes connected data of the sampling time points AP and PP for each sow in each...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
Each data point visualizes connected data of the sampling time points PP, SP and PW for each sow and...
<p>Four examples of clusters are presented; for each, a phylogram and graphical representation of th...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
Each data point visualizes connected data of the sampling time points SP and PW for each piglet in e...
The number of new cases that join any cluster (ie. the total cluster growth) plotted against the bra...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Panel (A) shows the hierarchical clustering based on the -Wiener indices (see Step 1 on page 6 fo...
<p>Hierarchical clustering of <i>Lens</i> accessions based on qualitative phenotypic data.</p
<p>Numbers in the last three columns represent the most characteristic value in terms of phenotypic ...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>Hierarchical clustering of <i>Lens</i> core set accessions based on quantitative phenotypic data....
Each data point visualizes connected data of the sampling time points AP and PP for each sow in each...