This is the analysis overview for Firehose run "25 May 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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Clustering Analyses
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Clustering of miR expression: consensus NMF
View Report | We filtered the data to 150 most variable miRs. Consensus NMF clustering of 564 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 miR expression: consensus hierarchical
View Report | We filtered the data to 150 most variable miRs. Consensus average linkage hierarchical clustering of 564 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. -
Other Analyses
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Correlation between miR expression and clinical features
View Report | Testing the association between 817 miRs and 6 clinical features across 562 samples, statistically thresholded by Q value < 0.05, 3 clinical features related to at least one miRs. -
Identification of putative miR direct targets
View Report | This pipeline use a relevance network approach to infer putative miR:mRNA regulatory connections. All miR:mRNA pairs that have correlations < -0.3 and have predicted interactions in three sequence prediction databases (Miranda, Pictar, Targetscan) define the final network.
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Firehose Directory = /local/cga-fh/tcga-gdac
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Run Prefix = analyses__2012_05_25
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Summary Report Date = Sat Jun 16 13:19:30 2012
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Protection = FALSE