[1] "ofn"        "-oTKICH-TP"
[1] "opt"       "-OPMUTSIG"
[1] "tl" ""  
[1] "dx" ""  
[1] "opt"    "MUTSIG"
[1] "dx" ""  
[1] "cfn:"
[1] "/xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_mergedClustering/KICH-TP/15095894/KICH-TP.transferedmergedcluster.txt"
[1] "dfn:"
[1] "/xchip/cga/gdac-prod/tcga-gdac/jobResults/GDAC_Correlate_Genomic_Events_Preprocess/KICH-TP/15174159/transformed.cor.cli.txt"

nPatients in clinical file=66, in cluster file=66, common to both=66
[1] "Reduce the number of clustering variables from 5 to 4."
[1]  4 66
[1] "TP53 MUTATION ANALYSIS"
[1] 3
  TP53 MUTATED TP53 WILD-TYPE 
            22             44 
  TP53 MUTATED TP53 WILD-TYPE 
            22             44 
[1] "PTEN MUTATION ANALYSIS"
[1] 3
  PTEN MUTATED PTEN WILD-TYPE 
             6             60 
  PTEN MUTATED PTEN WILD-TYPE 
             6             60 
[1] "PABPC1 MUTATION ANALYSIS"
[1] 3
  PABPC1 MUTATED PABPC1 WILD-TYPE 
               7               59 
  PABPC1 MUTATED PABPC1 WILD-TYPE 
               7               59 
[1] "URGCP MUTATION ANALYSIS"
[1] 3
  URGCP MUTATED URGCP WILD-TYPE 
              3              63 
  URGCP MUTATED URGCP WILD-TYPE 
              3              63 
[1] "data2feature, selection=ALL"
[1] "CN_CNMF"                     "METHLYATION_CNMF"           
[3] "MRNASEQ_CNMF"                "MRNASEQ_CHIERARCHICAL"      
[5] "MIRSEQ_CNMF"                 "MIRSEQ_CHIERARCHICAL"       
[7] "MIRSEQ_MATURE_CNMF"          "MIRSEQ_MATURE_CHIERARCHICAL"

Input Data has 8 rows and 66 columns.

Variable 1:'CN_CNMF':	nDistinctValues=3,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 2:'METHLYATION_CNMF':	nDistinctValues=3,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 3:'MRNASEQ_CNMF':	nDistinctValues=4,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 4:'MRNASEQ_CHIERARCHICAL':	nDistinctValues=7,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 5:'MIRSEQ_CNMF':	nDistinctValues=3,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 6:'MIRSEQ_CHIERARCHICAL':	nDistinctValues=7,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 7:'MIRSEQ_MATURE_CNMF':	nDistinctValues=2,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
Variable 8:'MIRSEQ_MATURE_CHIERARCHICAL':	nDistinctValues=8,	numeric=FALSE,	binary=FALSE,	exclude=FALSE.
[1] "## **** detect survival parameters (defined in index such as ind_OS, ind_MFS, ind_RFS, ind_RFS, ind_BCR and ind_d2ssd) *** ##"
[1] "detected survival parameters using [ind_OS, overall_survival]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [ind_OS, curated_overall_survival]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [ind_TCGAOS]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survivial parameters using [ind_MFS]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [ind_RFS]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [ind_BCR]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [ind_Progression]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using [index_additional_survival_time]"
[1] "survival parameters accumulated so far"
NULL
[1] "detected survival parameters using condition: [is.null(surv.mat)&&(selection=='SURV')]"
[1] "survival parameters accumulated so far"
NULL
[1] "************ conversion from categorical data to rank data ********** "
[1] "****** SUMMARY ***** "
Output Data has 66 columns, 0 survival variables, and 8 non-survival variables.
[1] "* survival variables: "
NULL
[1] "* non-survival variables: "
[1] "CN_CNMF"                     "METHLYATION_CNMF"           
[3] "MRNASEQ_CNMF"                "MRNASEQ_CHIERARCHICAL"      
[5] "MIRSEQ_CNMF"                 "MIRSEQ_CHIERARCHICAL"       
[7] "MIRSEQ_MATURE_CNMF"          "MIRSEQ_MATURE_CHIERARCHICAL"
CN_CNMF, nv=3, binary=FALSE, numeric=FALSE
METHLYATION_CNMF, nv=3, binary=FALSE, numeric=FALSE
MRNASEQ_CNMF, nv=4, binary=FALSE, numeric=FALSE
MRNASEQ_CHIERARCHICAL, nv=7, binary=FALSE, numeric=FALSE
MIRSEQ_CNMF, nv=3, binary=FALSE, numeric=FALSE
MIRSEQ_CHIERARCHICAL, nv=7, binary=FALSE, numeric=FALSE
MIRSEQ_MATURE_CNMF, nv=2, binary=FALSE, numeric=FALSE
MIRSEQ_MATURE_CHIERARCHICAL, nv=8, binary=FALSE, numeric=FALSE

Clustering(1) Variable = TP53 MUTATION ANALYSIS
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  TP53 MUTATED        2     14      6
  TP53 WILD-TYPE      3     33      8
D1V1, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            2              3
  CLUS_2           14             33
  CLUS_3            6              8
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  TP53 MUTATED        3     16      3
  TP53 WILD-TYPE     15     19     10
D1V2, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            3             15
  CLUS_2           16             19
  CLUS_3            3             10
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4
  TP53 MUTATED        6      6      9      1
  TP53 WILD-TYPE     13     16      6      9
D1V3, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            6             13
  CLUS_2            6             16
  CLUS_3            9              6
  CLUS_4            1              9
[1] 4 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  TP53 MUTATED        5      6      1      0      7      3      0
  TP53 WILD-TYPE     14     10      6      6      3      1      4
D1V4, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            5             14
  CLUS_2            6             10
  CLUS_3            1              6
  CLUS_4            0              6
  CLUS_5            7              3
  CLUS_6            3              1
  CLUS_7            0              4
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  TP53 MUTATED        5      9      8
  TP53 WILD-TYPE     15     15     14
D1V5, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            5             15
  CLUS_2            9             15
  CLUS_3            8             14
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  TP53 MUTATED        7      5      3      1      1      3      2
  TP53 WILD-TYPE     11      6      9      5      4      2      7
D1V6, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            7             11
  CLUS_2            5              6
  CLUS_3            3              9
  CLUS_4            1              5
  CLUS_5            1              4
  CLUS_6            3              2
  CLUS_7            2              7
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D1V7, binary
                cls
clus              0  1
  TP53 MUTATED    7 11
  TP53 WILD-TYPE 12 18
[1] "tbl2"
                cls
clus             [,1] [,2]
  TP53 MUTATED      7   11
  TP53 WILD-TYPE   12   18
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            7             12
  CLUS_2           11             18
[1] 2 2
[1] FALSE
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7 CLUS_8
  TP53 MUTATED        4      3      2      2      1      3      3      0
  TP53 WILD-TYPE      6      3      3      6      3      3      2      4
D1V8, multiclass
        clus
vv       TP53 MUTATED TP53 WILD-TYPE
  CLUS_1            4              6
  CLUS_2            3              3
  CLUS_3            2              3
  CLUS_4            2              6
  CLUS_5            1              3
  CLUS_6            3              3
  CLUS_7            3              2
  CLUS_8            0              4
[1] 8 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(2) Variable = PTEN MUTATION ANALYSIS
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  PTEN MUTATED        2      3      1
  PTEN WILD-TYPE      3     44     13
D2V1, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            2              3
  CLUS_2            3             44
  CLUS_3            1             13
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  PTEN MUTATED        3      3      0
  PTEN WILD-TYPE     15     32     13
D2V2, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            3             15
  CLUS_2            3             32
  CLUS_3            0             13
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4
  PTEN MUTATED        2      1      3      0
  PTEN WILD-TYPE     17     21     12     10
D2V3, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            2             17
  CLUS_2            1             21
  CLUS_3            3             12
  CLUS_4            0             10
[1] 4 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  PTEN MUTATED        2      1      0      0      3      0      0
  PTEN WILD-TYPE     17     15      7      6      7      4      4
D2V4, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            2             17
  CLUS_2            1             15
  CLUS_3            0              7
  CLUS_4            0              6
  CLUS_5            3              7
  CLUS_6            0              4
  CLUS_7            0              4
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3
  PTEN MUTATED        1      4      1
  PTEN WILD-TYPE     19     20     21
D2V5, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            1             19
  CLUS_2            4             20
  CLUS_3            1             21
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  PTEN MUTATED        5      0      0      0      0      1      0
  PTEN WILD-TYPE     13     11     12      6      5      4      9
D2V6, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            5             13
  CLUS_2            0             11
  CLUS_3            0             12
  CLUS_4            0              6
  CLUS_5            0              5
  CLUS_6            1              4
  CLUS_7            0              9
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D2V7, binary
                cls
clus              0  1
  PTEN MUTATED    3  2
  PTEN WILD-TYPE 16 27
[1] "tbl2"
                cls
clus             [,1] [,2]
  PTEN MUTATED      3    2
  PTEN WILD-TYPE   16   27
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            3             16
  CLUS_2            2             27
[1] 2 2
[1] FALSE
                vv
clus             CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7 CLUS_8
  PTEN MUTATED        3      0      1      0      0      0      1      0
  PTEN WILD-TYPE      7      6      4      8      4      6      4      4
D2V8, multiclass
        clus
vv       PTEN MUTATED PTEN WILD-TYPE
  CLUS_1            3              7
  CLUS_2            0              6
  CLUS_3            1              4
  CLUS_4            0              8
  CLUS_5            0              4
  CLUS_6            0              6
  CLUS_7            1              4
  CLUS_8            0              4
[1] 8 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(3) Variable = PABPC1 MUTATION ANALYSIS
                  vv
clus               CLUS_1 CLUS_2 CLUS_3
  PABPC1 MUTATED        1      4      2
  PABPC1 WILD-TYPE      4     43     12
D3V1, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              1                4
  CLUS_2              4               43
  CLUS_3              2               12
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                  vv
clus               CLUS_1 CLUS_2 CLUS_3
  PABPC1 MUTATED        2      2      3
  PABPC1 WILD-TYPE     16     33     10
D3V2, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              2               16
  CLUS_2              2               33
  CLUS_3              3               10
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                  vv
clus               CLUS_1 CLUS_2 CLUS_3 CLUS_4
  PABPC1 MUTATED        2      1      1      3
  PABPC1 WILD-TYPE     17     21     14      7
D3V3, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              2               17
  CLUS_2              1               21
  CLUS_3              1               14
  CLUS_4              3                7
[1] 4 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                  vv
clus               CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  PABPC1 MUTATED        2      1      2      1      1      0      0
  PABPC1 WILD-TYPE     17     15      5      5      9      4      4
D3V4, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              2               17
  CLUS_2              1               15
  CLUS_3              2                5
  CLUS_4              1                5
  CLUS_5              1                9
  CLUS_6              0                4
  CLUS_7              0                4
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                  vv
clus               CLUS_1 CLUS_2 CLUS_3
  PABPC1 MUTATED        3      3      1
  PABPC1 WILD-TYPE     17     21     21
D3V5, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              3               17
  CLUS_2              3               21
  CLUS_3              1               21
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                  vv
clus               CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  PABPC1 MUTATED        2      1      0      1      0      0      3
  PABPC1 WILD-TYPE     16     10     12      5      5      5      6
D3V6, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              2               16
  CLUS_2              1               10
  CLUS_3              0               12
  CLUS_4              1                5
  CLUS_5              0                5
  CLUS_6              0                5
  CLUS_7              3                6
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D3V7, binary
                  cls
clus                0  1
  PABPC1 MUTATED    3  1
  PABPC1 WILD-TYPE 16 28
[1] "tbl2"
                  cls
clus               [,1] [,2]
  PABPC1 MUTATED      3    1
  PABPC1 WILD-TYPE   16   28
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              3               16
  CLUS_2              1               28
[1] 2 2
[1] FALSE
                  vv
clus               CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7 CLUS_8
  PABPC1 MUTATED        0      0      1      0      0      2      1      0
  PABPC1 WILD-TYPE     10      6      4      8      4      4      4      4
D3V8, multiclass
        clus
vv       PABPC1 MUTATED PABPC1 WILD-TYPE
  CLUS_1              0               10
  CLUS_2              0                6
  CLUS_3              1                4
  CLUS_4              0                8
  CLUS_5              0                4
  CLUS_6              2                4
  CLUS_7              1                4
  CLUS_8              0                4
[1] 8 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"

Clustering(4) Variable = URGCP MUTATION ANALYSIS
                 vv
clus              CLUS_1 CLUS_2 CLUS_3
  URGCP MUTATED        0      2      1
  URGCP WILD-TYPE      5     45     13
D4V1, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             0               5
  CLUS_2             2              45
  CLUS_3             1              13
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                 vv
clus              CLUS_1 CLUS_2 CLUS_3
  URGCP MUTATED        1      2      0
  URGCP WILD-TYPE     17     33     13
D4V2, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             1              17
  CLUS_2             2              33
  CLUS_3             0              13
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                 vv
clus              CLUS_1 CLUS_2 CLUS_3 CLUS_4
  URGCP MUTATED        1      1      1      0
  URGCP WILD-TYPE     18     21     14     10
D4V3, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             1              18
  CLUS_2             1              21
  CLUS_3             1              14
  CLUS_4             0              10
[1] 4 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                 vv
clus              CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  URGCP MUTATED        1      1      0      0      1      0      0
  URGCP WILD-TYPE     18     15      7      6      9      4      4
D4V4, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             1              18
  CLUS_2             1              15
  CLUS_3             0               7
  CLUS_4             0               6
  CLUS_5             1               9
  CLUS_6             0               4
  CLUS_7             0               4
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                 vv
clus              CLUS_1 CLUS_2 CLUS_3
  URGCP MUTATED        2      0      1
  URGCP WILD-TYPE     18     24     21
D4V5, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             2              18
  CLUS_2             0              24
  CLUS_3             1              21
[1] 3 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
                 vv
clus              CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7
  URGCP MUTATED        1      0      0      1      0      0      1
  URGCP WILD-TYPE     17     11     12      5      5      5      8
D4V6, multiclass
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             1              17
  CLUS_2             0              11
  CLUS_3             0              12
  CLUS_4             1               5
  CLUS_5             0               5
  CLUS_6             0               5
  CLUS_7             1               8
[1] 7 2
[1] TRUE
[1] "dimension of contingency table is larger than 2 by 2 --- so will do fisher test with simulate.p.value=TRUE"
D4V7, binary
                 cls
clus               0  1
  URGCP MUTATED    2  0
  URGCP WILD-TYPE 17 29
[1] "tbl2"
                 cls
clus              [,1] [,2]
  URGCP MUTATED      2    0
  URGCP WILD-TYPE   17   29
        clus
vv       URGCP MUTATED URGCP WILD-TYPE
  CLUS_1             2              17
  CLUS_2             0              29
[1] 2 2
[1] FALSE
                 vv
clus              CLUS_1 CLUS_2 CLUS_3 CLUS_4 CLUS_5 CLUS_6 CLUS_7 CLUS_8
  URGCP MUTATED        1      0      0      0      0      1      0      0
  URGCP WILD-TYPE      9      6      5      8      4      5      5      4
D4V8, multiclass
[1] "Remove cluster labels:" "URGCP MUTATED"         
clus
  URGCP MUTATED URGCP WILD-TYPE 
              2              46 
     TCGA-KL-8323      TCGA-KL-8324      TCGA-KL-8327      TCGA-KL-8328 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KL-8331      TCGA-KL-8332      TCGA-KL-8333      TCGA-KL-8335 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KL-8336      TCGA-KL-8338      TCGA-KL-8339      TCGA-KL-8340 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KL-8341      TCGA-KL-8342      TCGA-KL-8343      TCGA-KL-8344 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KL-8345      TCGA-KM-8438      TCGA-KM-8439      TCGA-KM-8441 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KM-8442      TCGA-KM-8639      TCGA-KN-8418      TCGA-KN-8419 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KN-8422      TCGA-KN-8423      TCGA-KN-8424      TCGA-KN-8426 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KN-8427      TCGA-KN-8429      TCGA-KN-8430      TCGA-KN-8431 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KN-8432      TCGA-KN-8433      TCGA-KN-8434      TCGA-KN-8436 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KN-8437      TCGA-KO-8404      TCGA-KO-8405      TCGA-KO-8408 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KO-8409      TCGA-KO-8410      TCGA-KO-8413      TCGA-KO-8415 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" "URGCP WILD-TYPE" 
     TCGA-KO-8416      TCGA-KO-8417 
"URGCP WILD-TYPE" "URGCP WILD-TYPE" 
