(A) Silhouette score with different numbers of clusters, calculated using cluster robustness analyses. (B) Heat map with the top 100 differentially expressed genes (DEGs) in the four groups. DEGs with a significant false discovery rate were analyzed using ANOVA-like tests, after which unsupervised hierarchical cluster analysis was performed. Stable clusters I and II were generated. The pie chart shows distributions of patients (%) from the four groups in clusters I (C) and II (D).</p
<p>Gene expression levels of (A) PGC signature, (B) EGC and common PGC/EGC signature and (C) ESC, IP...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Hierarchical clustering of gene expression profiles in all samples. Each row represents a gene an...
<p>Cluster analysis was applied to gene expression data derived from all probes on HG-U133 plus 2.0 ...
<p>Rows in the heat map represent the five genes DEFA4, ELA2, CTSG, OLFM4, and AZU1, and columns rep...
(A) Heat map showing differentially expressed genes (DEGs) in group C versus group A compared with g...
<p>A, B, C, and D: the GSE38611, GSE2466, GSE9992 and GSE46261 cohorts, respectively. Cluster member...
<p><b>A</b>) Hierarchical cluster analysis (HCA) on gene expression data segregated the tumors into ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
A total of 421 genes were selected from RNA-Seq data using a threshold of Benjamini-Hochberg adjuste...
Shown is the heat map resulting from the hierarchical clustering of the gene set variation (GSVA) en...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
Multidimensional scaling (MDS) plots showing dissimilarity of patients based on their gene expressio...
<p>Cluster analysis and heat map of the top 50 genes showing highest or lowest gene expression in DD...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Gene expression levels of (A) PGC signature, (B) EGC and common PGC/EGC signature and (C) ESC, IP...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Hierarchical clustering of gene expression profiles in all samples. Each row represents a gene an...
<p>Cluster analysis was applied to gene expression data derived from all probes on HG-U133 plus 2.0 ...
<p>Rows in the heat map represent the five genes DEFA4, ELA2, CTSG, OLFM4, and AZU1, and columns rep...
(A) Heat map showing differentially expressed genes (DEGs) in group C versus group A compared with g...
<p>A, B, C, and D: the GSE38611, GSE2466, GSE9992 and GSE46261 cohorts, respectively. Cluster member...
<p><b>A</b>) Hierarchical cluster analysis (HCA) on gene expression data segregated the tumors into ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
A total of 421 genes were selected from RNA-Seq data using a threshold of Benjamini-Hochberg adjuste...
Shown is the heat map resulting from the hierarchical clustering of the gene set variation (GSVA) en...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
Multidimensional scaling (MDS) plots showing dissimilarity of patients based on their gene expressio...
<p>Cluster analysis and heat map of the top 50 genes showing highest or lowest gene expression in DD...
Unsupervised clustering analysis combining gene expression levels of CK20, CD44, E-CAD and Survivin ...
<p>Gene expression levels of (A) PGC signature, (B) EGC and common PGC/EGC signature and (C) ESC, IP...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Hierarchical clustering of gene expression profiles in all samples. Each row represents a gene an...