Correlation between copy number variation genes and molecular subtypes
Kidney Renal Papillary Cell Carcinoma (Primary solid tumor)
22 February 2013  |  analyses__2013_02_22
Maintainer Information
Citation Information
Maintained by TCGA GDAC Team (Broad Institute/MD Anderson Cancer Center/Harvard Medical School)
Cite as Broad Institute TCGA Genome Data Analysis Center (2013): Correlation between copy number variation genes and molecular subtypes. Broad Institute of MIT and Harvard. doi:10.7908/C1PC30KT
Overview
Introduction

This pipeline computes the correlation between significant copy number variation (cnv) genes and molecular subtypes.

Summary

Testing the association between copy number variation of 22 peak regions and 8 molecular subtypes across 117 patients, 21 significant findings detected with Q value < 0.25.

  • Amp Peak 2(3p14.1) cnvs correlated to 'CN_CNMF',  'MRNASEQ_CHIERARCHICAL', and 'MIRSEQ_CHIERARCHICAL'.

  • Amp Peak 5(7q22.1) cnvs correlated to 'CN_CNMF',  'MRNASEQ_CNMF', and 'MRNASEQ_CHIERARCHICAL'.

  • Amp Peak 6(17q25.2) cnvs correlated to 'CN_CNMF'.

  • Amp Peak 7(19p13.2) cnvs correlated to 'CN_CNMF'.

  • Del Peak 1(1p36.31) cnvs correlated to 'CN_CNMF'.

  • Del Peak 4(3p22.1) cnvs correlated to 'CN_CNMF' and 'METHLYATION_CNMF'.

  • Del Peak 5(4q31.22) cnvs correlated to 'CN_CNMF' and 'METHLYATION_CNMF'.

  • Del Peak 6(5q35.2) cnvs correlated to 'MRNASEQ_CNMF' and 'MRNASEQ_CHIERARCHICAL'.

  • Del Peak 8(9p21.3) cnvs correlated to 'METHLYATION_CNMF' and 'MRNASEQ_CNMF'.

  • Del Peak 9(14q11.2) cnvs correlated to 'CN_CNMF'.

  • Del Peak 10(14q23.3) cnvs correlated to 'CN_CNMF'.

  • Del Peak 11(14q32.2) cnvs correlated to 'CN_CNMF'.

  • Del Peak 13(Xq21.31) cnvs correlated to 'CN_CNMF'.

Results
Overview of the results

Table 1.  Get Full Table Overview of the association between significant copy number variation of 22 regions and 8 molecular subtypes. Shown in the table are P values (Q values). Thresholded by Q value < 0.25, 21 significant findings detected.

Molecular
subtypes
MRNA
CNMF
MRNA
CHIERARCHICAL
CN
CNMF
METHLYATION
CNMF
MRNASEQ
CNMF
MRNASEQ
CHIERARCHICAL
MIRSEQ
CNMF
MIRSEQ
CHIERARCHICAL
nCNV (%) nWild-Type Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test Fisher's exact test
Amp Peak 2(3p14 1) 31 (26%) 86 1
(1.00)
0.537
(1.00)
2.36e-17
(3.76e-15)
0.0858
(1.00)
0.00279
(0.373)
1.79e-06
(0.000274)
0.00534
(0.688)
0.000228
(0.0335)
Amp Peak 5(7q22 1) 68 (58%) 49 1
(1.00)
0.808
(1.00)
3.56e-09
(5.52e-07)
0.00792
(1.00)
0.00172
(0.239)
0.000515
(0.0746)
0.0134
(1.00)
0.0157
(1.00)
Del Peak 4(3p22 1) 8 (7%) 109 0.438
(1.00)
0.000862
(0.122)
0.000694
(0.0985)
0.0206
(1.00)
0.00417
(0.547)
0.0159
(1.00)
0.111
(1.00)
Del Peak 5(4q31 22) 13 (11%) 104 1
(1.00)
0.000304
(0.0444)
0.000543
(0.0782)
0.00681
(0.872)
0.024
(1.00)
0.582
(1.00)
0.61
(1.00)
Del Peak 6(5q35 2) 8 (7%) 109 1
(1.00)
0.319
(1.00)
0.00185
(0.253)
0.000616
(0.088)
0.00116
(0.162)
0.394
(1.00)
0.12
(1.00)
Del Peak 8(9p21 3) 18 (15%) 99 1
(1.00)
0.75
(1.00)
0.00471
(0.612)
4.27e-05
(0.00636)
3.4e-05
(0.0051)
0.00182
(0.251)
0.0341
(1.00)
0.0922
(1.00)
Amp Peak 6(17q25 2) 80 (68%) 37 0.585
(1.00)
1
(1.00)
2.9e-06
(0.000438)
0.233
(1.00)
0.28
(1.00)
0.0388
(1.00)
0.826
(1.00)
0.477
(1.00)
Amp Peak 7(19p13 2) 14 (12%) 103 0.0885
(1.00)
0.615
(1.00)
4.94e-09
(7.61e-07)
0.161
(1.00)
0.0683
(1.00)
0.765
(1.00)
0.722
(1.00)
0.682
(1.00)
Del Peak 1(1p36 31) 25 (21%) 92 0.585
(1.00)
1
(1.00)
2.27e-06
(0.000346)
0.172
(1.00)
0.0316
(1.00)
0.0382
(1.00)
0.255
(1.00)
0.124
(1.00)
Del Peak 9(14q11 2) 26 (22%) 91 0.596
(1.00)
0.167
(1.00)
2.56e-10
(3.99e-08)
0.3
(1.00)
0.0934
(1.00)
0.177
(1.00)
0.835
(1.00)
0.953
(1.00)
Del Peak 10(14q23 3) 25 (21%) 92 1
(1.00)
0.385
(1.00)
2.2e-12
(3.48e-10)
0.139
(1.00)
0.0351
(1.00)
0.0295
(1.00)
0.719
(1.00)
0.886
(1.00)
Del Peak 11(14q32 2) 25 (21%) 92 1
(1.00)
0.385
(1.00)
1.29e-11
(2.02e-09)
0.3
(1.00)
0.0775
(1.00)
0.0648
(1.00)
0.719
(1.00)
0.886
(1.00)
Del Peak 13(Xq21 31) 17 (15%) 100 1
(1.00)
0.000118
(0.0175)
0.00263
(0.355)
0.00278
(0.373)
0.0354
(1.00)
0.768
(1.00)
0.806
(1.00)
Amp Peak 1(2q32 1) 20 (17%) 97 0.55
(1.00)
0.75
(1.00)
0.00237
(0.322)
0.397
(1.00)
0.942
(1.00)
1
(1.00)
0.832
(1.00)
0.439
(1.00)
Amp Peak 3(5q35 2) 15 (13%) 102 0.0625
(1.00)
0.141
(1.00)
0.2
(1.00)
0.0369
(1.00)
0.678
(1.00)
0.0565
(1.00)
0.566
(1.00)
0.0452
(1.00)
Amp Peak 4(6p12 3) 4 (3%) 113 0.438
(1.00)
0.199
(1.00)
0.114
(1.00)
0.35
(1.00)
0.165
(1.00)
0.186
(1.00)
Amp Peak 8(19q13 11) 4 (3%) 113 0.69
(1.00)
0.199
(1.00)
0.201
(1.00)
0.13
(1.00)
0.331
(1.00)
0.473
(1.00)
Del Peak 2(2p11 2) 3 (3%) 114 0.884
(1.00)
0.791
(1.00)
0.028
(1.00)
0.0273
(1.00)
Del Peak 3(2q37 3) 5 (4%) 112 1
(1.00)
0.331
(1.00)
0.163
(1.00)
0.684
(1.00)
0.35
(1.00)
0.704
(1.00)
0.84
(1.00)
Del Peak 7(6q22 31) 13 (11%) 104 1
(1.00)
0.0489
(1.00)
0.114
(1.00)
0.0976
(1.00)
0.175
(1.00)
0.787
(1.00)
0.337
(1.00)
Del Peak 12(19q13 42) 10 (9%) 107 0.163
(1.00)
0.885
(1.00)
0.732
(1.00)
0.232
(1.00)
0.471
(1.00)
0.438
(1.00)
Del Peak 14(Xq28) 16 (14%) 101 1
(1.00)
0.00368
(0.486)
0.045
(1.00)
0.0436
(1.00)
0.253
(1.00)
0.713
(1.00)
0.941
(1.00)
'Amp Peak 2(3p14.1) mutation analysis' versus 'CN_CNMF'

P value = 2.36e-17 (Fisher's exact test), Q value = 3.8e-15

Table S1.  Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
AMP PEAK 2(3P14.1) MUTATED 23 4 0 4
AMP PEAK 2(3P14.1) WILD-TYPE 1 16 28 41

Figure S1.  Get High-res Image Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Amp Peak 2(3p14.1) mutation analysis' versus 'MRNASEQ_CHIERARCHICAL'

P value = 1.79e-06 (Fisher's exact test), Q value = 0.00027

Table S2.  Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 18 37 21
AMP PEAK 2(3P14.1) MUTATED 1 19 0
AMP PEAK 2(3P14.1) WILD-TYPE 17 18 21

Figure S2.  Get High-res Image Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

'Amp Peak 2(3p14.1) mutation analysis' versus 'MIRSEQ_CHIERARCHICAL'

P value = 0.000228 (Fisher's exact test), Q value = 0.033

Table S3.  Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #8: 'MIRSEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 27 45 12 33
AMP PEAK 2(3P14.1) MUTATED 2 8 8 13
AMP PEAK 2(3P14.1) WILD-TYPE 25 37 4 20

Figure S3.  Get High-res Image Gene #2: 'Amp Peak 2(3p14.1) mutation analysis' versus Clinical Feature #8: 'MIRSEQ_CHIERARCHICAL'

'Amp Peak 5(7q22.1) mutation analysis' versus 'CN_CNMF'

P value = 3.56e-09 (Fisher's exact test), Q value = 5.5e-07

Table S4.  Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
AMP PEAK 5(7Q22.1) MUTATED 21 20 9 18
AMP PEAK 5(7Q22.1) WILD-TYPE 3 0 19 27

Figure S4.  Get High-res Image Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Amp Peak 5(7q22.1) mutation analysis' versus 'MRNASEQ_CNMF'

P value = 0.00172 (Fisher's exact test), Q value = 0.24

Table S5.  Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 27 24 25
AMP PEAK 5(7Q22.1) MUTATED 22 8 13
AMP PEAK 5(7Q22.1) WILD-TYPE 5 16 12

Figure S5.  Get High-res Image Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

'Amp Peak 5(7q22.1) mutation analysis' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.000515 (Fisher's exact test), Q value = 0.075

Table S6.  Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 18 37 21
AMP PEAK 5(7Q22.1) MUTATED 8 29 6
AMP PEAK 5(7Q22.1) WILD-TYPE 10 8 15

Figure S6.  Get High-res Image Gene #5: 'Amp Peak 5(7q22.1) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

'Amp Peak 6(17q25.2) mutation analysis' versus 'CN_CNMF'

P value = 2.9e-06 (Fisher's exact test), Q value = 0.00044

Table S7.  Gene #6: 'Amp Peak 6(17q25.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
AMP PEAK 6(17Q25.2) MUTATED 22 20 14 24
AMP PEAK 6(17Q25.2) WILD-TYPE 2 0 14 21

Figure S7.  Get High-res Image Gene #6: 'Amp Peak 6(17q25.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Amp Peak 7(19p13.2) mutation analysis' versus 'CN_CNMF'

P value = 4.94e-09 (Fisher's exact test), Q value = 7.6e-07

Table S8.  Gene #7: 'Amp Peak 7(19p13.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
AMP PEAK 7(19P13.2) MUTATED 0 11 3 0
AMP PEAK 7(19P13.2) WILD-TYPE 24 9 25 45

Figure S8.  Get High-res Image Gene #7: 'Amp Peak 7(19p13.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 1(1p36.31) mutation analysis' versus 'CN_CNMF'

P value = 2.27e-06 (Fisher's exact test), Q value = 0.00035

Table S9.  Gene #9: 'Del Peak 1(1p36.31) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 1(1P36.31) MUTATED 2 0 16 7
DEL PEAK 1(1P36.31) WILD-TYPE 22 20 12 38

Figure S9.  Get High-res Image Gene #9: 'Del Peak 1(1p36.31) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 4(3p22.1) mutation analysis' versus 'CN_CNMF'

P value = 0.000862 (Fisher's exact test), Q value = 0.12

Table S10.  Gene #12: 'Del Peak 4(3p22.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 4(3P22.1) MUTATED 0 0 7 1
DEL PEAK 4(3P22.1) WILD-TYPE 24 20 21 44

Figure S10.  Get High-res Image Gene #12: 'Del Peak 4(3p22.1) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 4(3p22.1) mutation analysis' versus 'METHLYATION_CNMF'

P value = 0.000694 (Fisher's exact test), Q value = 0.098

Table S11.  Gene #12: 'Del Peak 4(3p22.1) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 21 27 39
DEL PEAK 4(3P22.1) MUTATED 0 6 0
DEL PEAK 4(3P22.1) WILD-TYPE 21 21 39

Figure S11.  Get High-res Image Gene #12: 'Del Peak 4(3p22.1) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

'Del Peak 5(4q31.22) mutation analysis' versus 'CN_CNMF'

P value = 0.000304 (Fisher's exact test), Q value = 0.044

Table S12.  Gene #13: 'Del Peak 5(4q31.22) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 5(4Q31.22) MUTATED 3 0 9 1
DEL PEAK 5(4Q31.22) WILD-TYPE 21 20 19 44

Figure S12.  Get High-res Image Gene #13: 'Del Peak 5(4q31.22) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 5(4q31.22) mutation analysis' versus 'METHLYATION_CNMF'

P value = 0.000543 (Fisher's exact test), Q value = 0.078

Table S13.  Gene #13: 'Del Peak 5(4q31.22) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 21 27 39
DEL PEAK 5(4Q31.22) MUTATED 0 8 1
DEL PEAK 5(4Q31.22) WILD-TYPE 21 19 38

Figure S13.  Get High-res Image Gene #13: 'Del Peak 5(4q31.22) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

'Del Peak 6(5q35.2) mutation analysis' versus 'MRNASEQ_CNMF'

P value = 0.000616 (Fisher's exact test), Q value = 0.088

Table S14.  Gene #14: 'Del Peak 6(5q35.2) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 27 24 25
DEL PEAK 6(5Q35.2) MUTATED 0 6 0
DEL PEAK 6(5Q35.2) WILD-TYPE 27 18 25

Figure S14.  Get High-res Image Gene #14: 'Del Peak 6(5q35.2) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

'Del Peak 6(5q35.2) mutation analysis' versus 'MRNASEQ_CHIERARCHICAL'

P value = 0.00116 (Fisher's exact test), Q value = 0.16

Table S15.  Gene #14: 'Del Peak 6(5q35.2) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 18 37 21
DEL PEAK 6(5Q35.2) MUTATED 5 0 1
DEL PEAK 6(5Q35.2) WILD-TYPE 13 37 20

Figure S15.  Get High-res Image Gene #14: 'Del Peak 6(5q35.2) mutation analysis' versus Clinical Feature #6: 'MRNASEQ_CHIERARCHICAL'

'Del Peak 8(9p21.3) mutation analysis' versus 'METHLYATION_CNMF'

P value = 4.27e-05 (Fisher's exact test), Q value = 0.0064

Table S16.  Gene #16: 'Del Peak 8(9p21.3) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 21 27 39
DEL PEAK 8(9P21.3) MUTATED 4 10 0
DEL PEAK 8(9P21.3) WILD-TYPE 17 17 39

Figure S16.  Get High-res Image Gene #16: 'Del Peak 8(9p21.3) mutation analysis' versus Clinical Feature #4: 'METHLYATION_CNMF'

'Del Peak 8(9p21.3) mutation analysis' versus 'MRNASEQ_CNMF'

P value = 3.4e-05 (Fisher's exact test), Q value = 0.0051

Table S17.  Gene #16: 'Del Peak 8(9p21.3) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3
ALL 27 24 25
DEL PEAK 8(9P21.3) MUTATED 1 12 2
DEL PEAK 8(9P21.3) WILD-TYPE 26 12 23

Figure S17.  Get High-res Image Gene #16: 'Del Peak 8(9p21.3) mutation analysis' versus Clinical Feature #5: 'MRNASEQ_CNMF'

'Del Peak 9(14q11.2) mutation analysis' versus 'CN_CNMF'

P value = 2.56e-10 (Fisher's exact test), Q value = 4e-08

Table S18.  Gene #17: 'Del Peak 9(14q11.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 9(14Q11.2) MUTATED 5 0 19 2
DEL PEAK 9(14Q11.2) WILD-TYPE 19 20 9 43

Figure S18.  Get High-res Image Gene #17: 'Del Peak 9(14q11.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 10(14q23.3) mutation analysis' versus 'CN_CNMF'

P value = 2.2e-12 (Fisher's exact test), Q value = 3.5e-10

Table S19.  Gene #18: 'Del Peak 10(14q23.3) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 10(14Q23.3) MUTATED 4 0 20 1
DEL PEAK 10(14Q23.3) WILD-TYPE 20 20 8 44

Figure S19.  Get High-res Image Gene #18: 'Del Peak 10(14q23.3) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 11(14q32.2) mutation analysis' versus 'CN_CNMF'

P value = 1.29e-11 (Fisher's exact test), Q value = 2e-09

Table S20.  Gene #19: 'Del Peak 11(14q32.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 11(14Q32.2) MUTATED 3 0 20 2
DEL PEAK 11(14Q32.2) WILD-TYPE 21 20 8 43

Figure S20.  Get High-res Image Gene #19: 'Del Peak 11(14q32.2) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

'Del Peak 13(Xq21.31) mutation analysis' versus 'CN_CNMF'

P value = 0.000118 (Fisher's exact test), Q value = 0.018

Table S21.  Gene #21: 'Del Peak 13(Xq21.31) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

nPatients CLUS_1 CLUS_2 CLUS_3 CLUS_4
ALL 24 20 28 45
DEL PEAK 13(XQ21.31) MUTATED 4 0 11 2
DEL PEAK 13(XQ21.31) WILD-TYPE 20 20 17 43

Figure S21.  Get High-res Image Gene #21: 'Del Peak 13(Xq21.31) mutation analysis' versus Clinical Feature #3: 'CN_CNMF'

Methods & Data
Input
  • Copy number data file = All Lesions File (all_lesions.conf_##.txt, where ## is the confidence level). The all lesions file is from GISTIC pipeline and summarizes the results from the GISTIC run. It contains data about the significant regions of amplification and deletion as well as which samples are amplified or deleted in each of these regions. The identified regions are listed down the first column, and the samples are listed across the first row, starting in column 10.

  • Molecular subtype file = KIRP-TP.transferedmergedcluster.txt

  • Number of patients = 117

  • Number of copy number variation regions = 22

  • Number of molecular subtypes = 8

  • Exclude regions that fewer than K tumors have alterations, K = 3

Fisher's exact test

For binary or multi-class clinical features (nominal or ordinal), two-tailed Fisher's exact tests (Fisher 1922) were used to estimate the P values using the 'fisher.test' function in R

Q value calculation

For multiple hypothesis correction, Q value is the False Discovery Rate (FDR) analogue of the P value (Benjamini and Hochberg 1995), defined as the minimum FDR at which the test may be called significant. We used the 'Benjamini and Hochberg' method of 'p.adjust' function in R to convert P values into Q values.

Download Results

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.

References
[1] Fisher, R.A., On the interpretation of chi-square from contingency tables, and the calculation of P, Journal of the Royal Statistical Society 85(1):87-94 (1922)
[2] Benjamini and Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B 59:289-300 (1995)