<p>The dendrogram and heatmap on top show hierarchical clustering (average linkage) of the 99 samples in the training set (P1) and the 55 genes used in our prediction model. The first 2 lines in the graph on bottom indicate whether each sample is from the patient group or the control group. Finally, the bottom line shows the distribution of Fisher's linear discriminant scores (dots) based on ASD55 with moving average (line). The distributions of linear discriminant scores are shown on the right (blue solid line for controls and black broken line for patients). ASD cases and controls are well separated using linear discriminant analysis on the ASD55 genes.</p
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>Comparisons among MPNST, NF and control phenotypes were grouped through hierarchical clustering. ...
<p>Control (green), acute (blue), and relapse (red) patients were clustered hierarchically by Euclid...
A. ASD genes with different level of evidence and non-mental genes were used to implement the propos...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p>Abbreviations: ASD55, the genes in a classifier developed on P1 with 55 genes listed in <a href="...
<p>Hierarchical clustering of RQ values from the genes tested in the 2<sup>nd</sup> validation set (...
<p>On the left, the genes and clinical parameters are indicated, along with three subgroups of genes...
<div><p>(A) An unsupervised hierarchical clustering representation of the weighted difference betwee...
(A) Silhouette score with different numbers of clusters, calculated using cluster robustness analyse...
<p>The heatmap was produced by clustering the data matrix of top 30 genes using Pearson correlation....
<p>(A) Expression heat-map with 5,650 differentially expressed genes (DEGs) (excluding the common re...
<div><p><b>A</b>: This panel depicts the study design and order of experimental analysis.</p> <p><b>...
<p>(a) Comparison of survival prediction performances according to patients’ mutational burden for L...
<p>Genes have been grouped according to the number of data sets in which they displayed significant ...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>Comparisons among MPNST, NF and control phenotypes were grouped through hierarchical clustering. ...
<p>Control (green), acute (blue), and relapse (red) patients were clustered hierarchically by Euclid...
A. ASD genes with different level of evidence and non-mental genes were used to implement the propos...
<p>Receiver operating characteristic (ROC) curve analysis was performed to evaluate the prediction a...
<p>Abbreviations: ASD55, the genes in a classifier developed on P1 with 55 genes listed in <a href="...
<p>Hierarchical clustering of RQ values from the genes tested in the 2<sup>nd</sup> validation set (...
<p>On the left, the genes and clinical parameters are indicated, along with three subgroups of genes...
<div><p>(A) An unsupervised hierarchical clustering representation of the weighted difference betwee...
(A) Silhouette score with different numbers of clusters, calculated using cluster robustness analyse...
<p>The heatmap was produced by clustering the data matrix of top 30 genes using Pearson correlation....
<p>(A) Expression heat-map with 5,650 differentially expressed genes (DEGs) (excluding the common re...
<div><p><b>A</b>: This panel depicts the study design and order of experimental analysis.</p> <p><b>...
<p>(a) Comparison of survival prediction performances according to patients’ mutational burden for L...
<p>Genes have been grouped according to the number of data sets in which they displayed significant ...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>Comparisons among MPNST, NF and control phenotypes were grouped through hierarchical clustering. ...
<p>Control (green), acute (blue), and relapse (red) patients were clustered hierarchically by Euclid...