Copy number analysis (GISTIC2)
View Report | There were 574 tumor samples used in this analysis: 21 significant arm-level results, 30 significant focal amplifications, and 48 significant focal deletions were found.

Mutation Analysis (MutSig)
View Report | Significantly mutated genes (q ≤ 0.1): 283

Clustering of Methylation: consensus NMF
View Report | The 6853 most variable methylated genes were selected based on variation. The variation cutoff are set for each tumor type empirically by fitting a bimodal distriution. For genes with multiple methylation probes, we chose the most variable one to represent the gene. Consensus NMF clustering of 349 samples and 6853 genes identified 3 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Clustering of RPPA data: consensus NMF
View Report | The most robust consensus NMF clustering of 399 samples using the 150 most variable proteins was identified for k = 4 clusters. We computed the clustering for k = 2 to k = 8 and used the cophenetic correlation coefficient to determine the best solution.

Clustering of RPPA data: consensus hierarchical
View Report | The 150 most variable proteins were selected. Consensus average linkage hierarchical clustering of 399 samples and 150 proteins identified 4 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Clustering of mRNA expression: consensus NMF
View Report | The most robust consensus NMF clustering of 224 samples using the 1500 most variable genes was identified for k = 4 clusters. We computed the clustering for k = 2 to k = 8 and used the cophenetic correlation coefficient to determine the best solution.

Clustering of mRNA expression: consensus hierarchical
View Report | The 1500 most variable genes were selected. Consensus average linkage hierarchical clustering of 224 samples and 1500 genes identified 3 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Clustering of mRNAseq gene expression: consensus NMF
View Report | The most robust consensus NMF clustering of 83 samples using the 1500 most variable genes was identified for k = 4 clusters. We computed the clustering for k = 2 to k = 8 and used the cophenetic correlation coefficient to determine the best solution.

Clustering of mRNAseq gene expression: consensus hierarchical
View Report | The 1500 most variable genes were selected. Consensus average linkage hierarchical clustering of 83 samples and 1500 genes identified 4 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Clustering of miRseq expression: consensus NMF
View Report | We filtered the data to 150 most variable miRs. Consensus NMF clustering of 255 samples and 150 miRs identified 3 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Clustering of miRseq expression: consensus hierarchical
View Report | We filtered the data to 150 most variable miRs. Consensus average linkage hierarchical clustering of 255 samples and 150 miRs identified 2 subtypes with the stability of the clustering increasing for k = 2 to k = 8 and the average silhouette width calculation for selecting the robust clusters.

Correlation between molecular cancer subtypes and selected clinical features
View Report | Testing the association between subtypes identified by 7 different clustering approaches and 10 clinical features across 585 patients, 12 significant findings detected with P value < 0.05.

Correlation between gene mutation status and selected clinical features
View Report | Testing the association between mutation status of 430 genes and 9 clinical features across 224 patients, one significant finding detected with Q value < 0.25.

Correlation between mRNA expression and clinical features
View Report | Testing the association between 17814 genes and 9 clinical features across 224 samples, statistically thresholded by Q value < 0.05, 6 clinical features related to at least one genes.

Correlations between copy number and mRNA expression
View Report | The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are -0.0322, 0.02144, 0.0715, 0.1332, 0.2039, 0.2802, 0.3495, 0.42196, 0.5107, respectively.

Correlations between copy number and mRNAseq expression
View Report | The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are 873.9, 1941, 2571, 3160, 3714, 4263, 4854.3, 5487, 6268.1, respectively.

Correlation between mRNA expression and DNA methylation
View Report | The top 25 correlated methylation probe(s) per gene are displayed. Total number of matched samples = 223 Number of gene expression samples = 238 Number of methylation samples = 224

Association of mutation, copy number alteration, and subtype markers with pathways
View Report | There are 248 genes with significant mutation (Q value <= 0.1) and 299 genes with significant copy number alteration (Q value <= 0.25). The identified marker genes (Q value <= 0.01 or within top 2000) are 2000 for subtype 1, 2000 for subtype 2, 2000 for subtype 3. Pathways significantly enriched with these genes (Q value <= 0.01) are identified :

PARADIGM pathway analysis of mRNA expression data
View Report | There were 55 significant pathways identified in this analysis.

PARADIGM pathway analysis of mRNA expression and copy number data
View Report | There were 49 significant pathways identified in this analysis.