<p>Table l lists the seven subgroups identified through hierarchical clustering of luminal samples, where “sample num” refers to the number of samples in each subgroup, “CR” is the number of sensitive samples in each subgroup, and “dominant subtype” is the dominant breast cancer subtype in each subgroup.</p><p>Subgroups of luminal breast cancer.</p
Table S3. Molecular characteristics of Luminal A breast cancers in the TCGA cohort classified by sub...
The association of clusters with invasive lobular and ductal carcinoma subgroups, ILC and IDC, respe...
<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with a...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
<p>This table shows the distribution of the breast cancer patients (Data set 3) in each cluster of r...
P-values and statistics from analysis of variance identifying the top 500 pathway entities defining ...
<p>In the figure, each microRNA corresponds to a row, and each breast cancer sample corresponds to c...
<p>(<b>A</b>) Experimental dendrogram shows the clustering of the tumors into three subgroups: clust...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Contingency table to classify patients with respect to subgroup of breast cancer and pathological...
Abstract: Molecular stratifi cation of disease based on expression levels of sets of genes can help ...
Table S3. Molecular characteristics of Luminal A breast cancers in the TCGA cohort classified by sub...
The association of clusters with invasive lobular and ductal carcinoma subgroups, ILC and IDC, respe...
<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with a...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
Figure S2. t-SNE plots showing subtype clustering of Luminal A cases in the TCGA cohort according to...
<p>This table shows the distribution of the breast cancer patients (Data set 3) in each cluster of r...
P-values and statistics from analysis of variance identifying the top 500 pathway entities defining ...
<p>In the figure, each microRNA corresponds to a row, and each breast cancer sample corresponds to c...
<p>(<b>A</b>) Experimental dendrogram shows the clustering of the tumors into three subgroups: clust...
<p>The letter C represented cancer, and N represented normal. Red was hypermethylation, white is mid...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Contingency table to classify patients with respect to subgroup of breast cancer and pathological...
Abstract: Molecular stratifi cation of disease based on expression levels of sets of genes can help ...
Table S3. Molecular characteristics of Luminal A breast cancers in the TCGA cohort classified by sub...
The association of clusters with invasive lobular and ductal carcinoma subgroups, ILC and IDC, respe...
<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with a...