<p>The patients were grouped according to the menstrual cycle phase (proliferative and secretory), number of samples evaluated and diagnosis of multiple or solitary tumours. These results show that the genomic and transcriptomic data were useful to clustering the samples regardless of the clinical features, indicating that could be markers to tumour biology (TMeV v.4.5).</p
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with a...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
<p>(A) Hierarchical clustering of primary tumors reveals three distinct classes (B) Kaplan–Meier met...
<p>Hierarchical cluster analysis results were present in tumor (T) and matching paratumorous (P) sam...
Clustering was based on 364 genes from the intrinsic gene list published by Sørlie and colleagues []...
<p>Unsupervised hierarchical clustering for the 30 tumor samples from 15 patients was performed base...
<p>The breast tumors were classified into two dominant clusters based on similarities in expression ...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical clustering was used to divide three large breast cancer patient cohorts (Chang (A), ...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
<p>The diseases and functions associated with gene clusters A-D are shown together with the p-value ...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with a...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
<p>(A) Hierarchical clustering of primary tumors reveals three distinct classes (B) Kaplan–Meier met...
<p>Hierarchical cluster analysis results were present in tumor (T) and matching paratumorous (P) sam...
Clustering was based on 364 genes from the intrinsic gene list published by Sørlie and colleagues []...
<p>Unsupervised hierarchical clustering for the 30 tumor samples from 15 patients was performed base...
<p>The breast tumors were classified into two dominant clusters based on similarities in expression ...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical clustering was used to divide three large breast cancer patient cohorts (Chang (A), ...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
<p>The diseases and functions associated with gene clusters A-D are shown together with the p-value ...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...