(A) The heatmap representing the level of gene expression (rows) in different clusters of patients (columns). (B) The percentage of different breast cancer receptor subtype and (C) lobular and ductal carcinomas, ILC and IDC, per cluster.</p
The heatmap shows hierarchical clustering of 770 immune-related genes in all 515 patients across the...
<p>Three clusters were identified. One cluster grouped the carcinomas T6, T7, and T8, another cluste...
<p>Samples are ordered across the columns by cluster membership as determined by consensus <i>K</i>-...
<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>Heat map clustering 1981 breast cancer tumors and the top 150 genes learned using ReliefF from th...
<p>Breast Cancer data: two biclusters are identified, 45×27 and 13×18, using 6391 genes 100 of which...
<p>Heat map clustering 1981 breast cancer tumors and the top 50 genes learned using ReliefF from the...
BACKGROUND: Many studies have revealed correlations between breast tumour phenotypes, variations in ...
<p>Heat map clustering 1981 breast cancer tumors and the top 100 genes learned using ReliefF from th...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
<p>A heat map was used to visualize the clustering results for basal BC. Basal BC can be divided int...
Traditional clustering approaches for gene expression data are not well adapted to address the compl...
<p>Cross-correlation heat map of the 136 robust signatures derived from 72 datasets cluster into 11 ...
The heatmap shows hierarchical clustering of 770 immune-related genes in all 515 patients across the...
<p>Three clusters were identified. One cluster grouped the carcinomas T6, T7, and T8, another cluste...
<p>Samples are ordered across the columns by cluster membership as determined by consensus <i>K</i>-...
<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>Heat map clustering 1981 breast cancer tumors and the top 150 genes learned using ReliefF from th...
<p>Breast Cancer data: two biclusters are identified, 45×27 and 13×18, using 6391 genes 100 of which...
<p>Heat map clustering 1981 breast cancer tumors and the top 50 genes learned using ReliefF from the...
BACKGROUND: Many studies have revealed correlations between breast tumour phenotypes, variations in ...
<p>Heat map clustering 1981 breast cancer tumors and the top 100 genes learned using ReliefF from th...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
<p>A heat map was used to visualize the clustering results for basal BC. Basal BC can be divided int...
Traditional clustering approaches for gene expression data are not well adapted to address the compl...
<p>Cross-correlation heat map of the 136 robust signatures derived from 72 datasets cluster into 11 ...
The heatmap shows hierarchical clustering of 770 immune-related genes in all 515 patients across the...
<p>Three clusters were identified. One cluster grouped the carcinomas T6, T7, and T8, another cluste...
<p>Samples are ordered across the columns by cluster membership as determined by consensus <i>K</i>-...
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