TGCT-v2.0.1 | R Documentation |
A document describing the TCGA cancer code
> experiments( TGCT ) ExperimentList class object of length 11: [1] TGCT_CNASNP-20160128: RaggedExperiment with 137968 rows and 271 columns [2] TGCT_CNVSNP-20160128: RaggedExperiment with 25479 rows and 271 columns [3] TGCT_GISTIC_AllByGene-20160128: SummarizedExperiment with 24776 rows and 134 columns [4] TGCT_GISTIC_Peaks-20160128: RangedSummarizedExperiment with 48 rows and 134 columns [5] TGCT_GISTIC_ThresholdedByGene-20160128: SummarizedExperiment with 24776 rows and 134 columns [6] TGCT_miRNASeqGene-20160128: SummarizedExperiment with 1046 rows and 139 columns [7] TGCT_Mutation-20160128: RaggedExperiment with 14672 rows and 138 columns [8] TGCT_RNASeq2Gene-20160128: SummarizedExperiment with 20501 rows and 139 columns [9] TGCT_RNASeq2GeneNorm-20160128: SummarizedExperiment with 20501 rows and 139 columns [10] TGCT_RPPAArray-20160128: SummarizedExperiment with 192 rows and 107 columns [11] TGCT_Methylation-20160128: SummarizedExperiment with 485577 rows and 139 columns > rownames( TGCT ) CharacterList of length 11 [["TGCT_CNASNP-20160128"]] character(0) [["TGCT_CNVSNP-20160128"]] character(0) [["TGCT_GISTIC_AllByGene-20160128"]] character(0) [["TGCT_GISTIC_Peaks-20160128"]] 17 18 1 19 2 20 21 ... 44 45 47 46 48 15 16 [["TGCT_GISTIC_ThresholdedByGene-20160128"]] character(0) [["TGCT_miRNASeqGene-20160128"]] hsa-let-7a-1 hsa-let-7a-2 ... hsa-mir-99b [["TGCT_Mutation-20160128"]] character(0) [["TGCT_RNASeq2Gene-20160128"]] A1BG A1CF A2BP1 A2LD1 ... ZZZ3 psiTPTE22 tAKR [["TGCT_RNASeq2GeneNorm-20160128"]] A1BG A1CF A2BP1 ... ZZZ3 psiTPTE22 tAKR [["TGCT_RPPAArray-20160128"]] 14-3-3_beta ... p90RSK_pT359_S363 ... <1 more element> > colnames( TGCT ) CharacterList of length 11 [["TGCT_CNASNP-20160128"]] TCGA-2G-AAEW-01A-11D-A42X-01 ... [["TGCT_CNVSNP-20160128"]] TCGA-2G-AAEW-01A-11D-A42X-01 ... [["TGCT_GISTIC_AllByGene-20160128"]] TCGA-2G-AAEW-01A-11D-A42X-01 ... [["TGCT_GISTIC_Peaks-20160128"]] TCGA-2G-AAEW-01A-11D-A42X-01 ... [["TGCT_GISTIC_ThresholdedByGene-20160128"]] TCGA-2G-AAEW-01A-11D-A42X-01 ... [["TGCT_miRNASeqGene-20160128"]] TCGA-2G-AAEW-01A-11R-A439-13 ... [["TGCT_Mutation-20160128"]] TCGA-2G-AAEW-01A-11D-A42Y-10 ... [["TGCT_RNASeq2Gene-20160128"]] TCGA-2G-AAEW-01A-11R-A430-07 ... [["TGCT_RNASeq2GeneNorm-20160128"]] TCGA-2G-AAEW-01A-11R-A430-07 ... [["TGCT_RPPAArray-20160128"]] TCGA-2G-AAEW-01A-21-A45P-20 ... ... <1 more element> Sizes of each ExperimentList element: assay size.Mb 1 TGCT_CNASNP-20160128 3.8 Mb 2 TGCT_CNVSNP-20160128 0.8 Mb 3 TGCT_GISTIC_AllByGene-20160128 28.8 Mb 4 TGCT_GISTIC_Peaks-20160128 0.1 Mb 5 TGCT_GISTIC_ThresholdedByGene-20160128 28.7 Mb 6 TGCT_miRNASeqGene-20160128 1.3 Mb 7 TGCT_Mutation-20160128 10 Mb 8 TGCT_RNASeq2Gene-20160128 24.3 Mb 9 TGCT_RNASeq2GeneNorm-20160128 24.3 Mb 10 TGCT_RPPAArray-20160128 0.2 Mb 11 TGCT_Methylation-20160128 75 Mb --------------------------- Overall survival time-to-event summary (in years): --------------------------- Call: survfit(formula = survival::Surv(colDat$days_to_death/365, colDat$vital_status) ~ -1) 130 observations deleted due to missingness n events median 0.95LCL 0.95UCL 4.0000 4.0000 1.5493 0.0466 NA --------------------------- Available sample meta-data: --------------------------- years_to_birth: Min. 1st Qu. Median Mean 3rd Qu. Max. 14.00 26.00 31.00 31.99 37.00 67.00 vital_status: 0 1 130 4 days_to_death: 17 513 618 6972 NA's 1 1 1 1 130 days_to_last_followup: Min. 1st Qu. Median Mean 3rd Qu. Max. NA's 3.0 688.2 1265.5 2092.7 2826.2 7437.0 4 tumor_tissue_site: testes 134 pathology_T_stage: t1 t2 t3 tx 76 51 6 1 pathology_N_stage: n0 n1 n2 nx NA's 46 11 2 65 10 pathology_M_stage: m0 m1 m1a m1b NA's 115 2 1 1 15 gender: male 134 date_of_initial_pathologic_diagnosis: Min. 1st Qu. Median Mean 3rd Qu. Max. 1992 2006 2009 2008 2012 2013 radiation_therapy: no yes NA's 111 21 2 karnofsky_performance_score: 80 90 100 NA's 5 41 56 32 race: asian black or african american white 4 6 119 NA's 5 ethnicity: hispanic or latino not hispanic or latino NA's 12 111 11 Including an additional 762 columns
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.