This is the analysis overview for Firehose run "24 January 2012".
Note: These results are offered to the community as an additional reference point, enabling a wide range of cancer biologists, clinical investigators, and genome and computational scientists to easily incorporate TCGA into the backdrop of ongoing research. While every effort is made to ensure that Firehose input data and algorithms are of the highest possible quality, these analyses have not been reviewed by domain experts.
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Sequence and Copy Number Analyses
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Copy number analysis (GISTIC2)
View Report | There were 205 tumor samples used in this analysis: 23 significant arm-level results, 19 significant focal amplifications, and 32 significant focal deletions were found. -
Mutation Analysis (MutSig)
View Report | Significantly mutated genes (q ≤ 0.1): 84 -
Clustering Analyses
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Clustering of mRNA expression: consensus NMF
View Report | The most robust consensus NMF clustering of 32 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 32 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 Methylation: consensus NMF
View Report | The 254 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 127 samples and 254 genes 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 Analyses
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Correlations between copy number and mRNA expression
View Report | The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are -0.11866, -0.0159, 0.0651, 0.13574, 0.2039, 0.2728, 0.34674, 0.4259, 0.53034, 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 = 31 Number of gene expression samples = 129 Number of methylation samples = 32 -
Other Analyses
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Clustering of miRseq expression: consensus NMF
View Report | We filtered the data to 150 most variable miRs. Consensus NMF clustering of 95 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 95 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. -
Association of mutation, copy number alteration, and subtype markers with pathways
View Report | There are 84 genes with significant mutation (Q value <= 0.1) and 380 genes with significant copy number alteration (Q value <= 0.25). The identified marker genes (Q value <= 0.01 or within top 2000) are 39 for subtype 1, 39 for subtype 2, 39 for subtype 3. Pathways significantly enriched with these genes (Q value <= 0.01) are identified : -
Paradigm Report
View Report | There were 43 significant pathways identified in this analysis.
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Firehose Directory = /xchip/cga1/tcga_gdac_firehose_output
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Run Prefix = prod__2012_01_24
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Summary Report Date = Fri Feb 24 13:10:30 2012
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Protection = FALSE