UCSCXenaTools包用法介绍

XenaR包提供了一个简单的UCSC Xena接口,可以获取一些UCSC Xena存储的信息,包括GDC、TCGA、ICGC、GTEx、CCLE等数据库的上千个数据集。特别是TCGA(hg19版本)的一部分数据UCSC做了非常好的标准化处理,下载即可用。这几天我想要能够通过代码下载相关数据,而不是每次通过网页上的点点点。考虑到XenaR包的原作者有3年没有更新了,我在它的基础上修正了目前UCSC Xena提供的Hug API,可以完成原包的功能(见https://github.com/DataGeeker/XenaR)。并且,基于这个包,目前正在构建包UCSCXenaTools

点击查看目前Xena提供的数据集。

目前可以利用它搜索数据集以及下载和导入R了。下面简单讲解下它的用法,目前没时间写文档,所以使用该包看这篇文章很重要。

使用安装

从Github上安装,运行下面代码

if(!require(devtools)){
    install.packages("devtools", dependencies = TRUE)
}

devtools::install_github("ShixiangWang/UCSCXenaTools")

导入

library(UCSCXenaTools)

探索

使用XenaHub()可以获取所有的资源,另外可以通过参数指定感兴趣的,包括hosts,cohorts以及datasets。

xe <- XenaHub()
xe## class: XenaHub ## hosts():##   https://ucscpublic.xenahubs.net##   https://tcga.xenahubs.net##   https://gdc.xenahubs.net##   https://icgc.xenahubs.net##   https://toil.xenahubs.net## cohorts() (137 total):##   (unassigned)##   1000_genomes##   Acute lymphoblastic leukemia (Mullighan 2008)##   ...##   TCGA Pan-Cancer (PANCAN)##   TCGA TARGET GTEx## datasets() (1521 total):##   parsons2008cgh_public/parsons2008cgh_genomicMatrix##   parsons2008cgh_public/parsons2008cgh_public_clinicalMatrix##   vijver2002_public/vijver2002_genomicMatrix##   ...##   TCGA_survival_data##   mc3.v0.2.8.PUBLIC.toil.xenahead(cohorts(xe))## [1] "(unassigned)"                                 ## [2] "1000_genomes"                                 ## [3] "Acute lymphoblastic leukemia (Mullighan 2008)"## [4] "B cells (Basso 2005)"                         ## [5] "Breast Cancer (Caldas 2007)"                  ## [6] "Breast Cancer (Chin 2006)"

结果返回一个XenaHub对象。

为了简化hosts()的输入,我们可以使用hostName指定我们想要搜索TCGA的内容,如下:

XenaHub(hostName = "TCGA")## class: XenaHub ## hosts():##   https://tcga.xenahubs.net## cohorts() (39 total):##   (unassigned)##   TCGA Acute Myeloid Leukemia (LAML)##   TCGA Adrenocortical Cancer (ACC)##   ...##   TCGA Thyroid Cancer (THCA)##   TCGA Uterine Carcinosarcoma (UCS)## datasets() (879 total):##   TCGA.OV.sampleMap/HumanMethylation27##   TCGA.OV.sampleMap/HumanMethylation450##   TCGA.OV.sampleMap/Gistic2_CopyNumber_Gistic2_all_data_by_genes##   ...##   TCGA.MESO.sampleMap/MESO_clinicalMatrix##   TCGA.MESO.sampleMap/Pathway_Paradigm_RNASeq_And_Copy_Number

有hosts()、cohorts()、datasets()以及samples()函数可以获取对应的内容,输入参数为XenaHub对象。

hosts(xe)## [1] "https://ucscpublic.xenahubs.net" "https://tcga.xenahubs.net"      ## [3] "https://gdc.xenahubs.net"        "https://icgc.xenahubs.net"      ## [5] "https://toil.xenahubs.net"cohorts(xe)##   [1] "(unassigned)"                                                         ##   [2] "1000_genomes"                                                         ##   [3] "Acute lymphoblastic leukemia (Mullighan 2008)"                        ##   [4] "B cells (Basso 2005)"                                                 ##   [5] "Breast Cancer (Caldas 2007)"                                          ##   [6] "Breast Cancer (Chin 2006)"                                            ##   [7] "Breast Cancer (Haverty 2008)"                                         ##   [8] "Breast Cancer (Hess 2006)"                                            ##   [9] "Breast Cancer (Miller 2005)"                                          ##  [10] "Breast Cancer (vantVeer 2002)"                                        ##  [11] "Breast Cancer (Vijver 2002)"                                          ##  [12] "Breast Cancer (Yau 2010)"                                             ##  [13] "Breast Cancer Cell Lines (Heiser 2012)"                               ##  [14] "Breast Cancer Cell Lines (Neve 2006)"                                 ##  [15] "Cancer Cell Line Encyclopedia (Breast)"                               ##  [16] "Cancer Cell Line Encyclopedia (CCLE)"                                 ##  [17] "Connectivity Map"                                                     ##  [18] "DIPG and Pediatric Non-Brainstem High-Grade Glioma (Wu 2014, St Jude)"##  [19] "Ewing Sarcoma Family of Tumors (Brohl 2014)"                          ##  [20] "GBM (Parsons 2008)"                                                   ##  [21] "Glioma (Kotliarov 2006)"                                              ##  [22] "Inbred mouse (Cutler 2007)"                                           ##  [23] "Lung Adenocarcinoma (Ding 2008)"                                      ##  [24] "Lung Cancer (Raponi 2006)"                                            ##  [25] "Lung Cancer CGH (Weir 2007)"                                          ##  [26] "lymph-node-negative breast cancer (Wang 2005)"                        ##  [27] "MAGIC"                                                                ##  [28] "Melanoma (Lin 2008)"                                                  ##  [29] "Mouse and Human Colon Tumors (Kaiser 2007)"                           ##  [30] "Mouse pancreatic adenocarcinoma (Bardeesy 2006)"                      ##  [31] "Mouse Tumors (Maser 2007)"                                            ##  [32] "NCI60"                                                                ##  [33] "Neuroblastoma (Khan)"                                                 ##  [34] "Neuroblastoma (Sausen 2013)"                                          ##  [35] "Node-negative breast cancer (Desmedt 2007)"                           ##  [36] "Ovarian Cancer (Etemadmoghadam 2009)"                                 ##  [37] "Pancreatic Cancer (Balagurunathan 2008)"                              ##  [38] "Pancreatic Cancer (Harada 2008)"                                      ##  [39] "Pancreatic Cancer (Jones 2008)"                                       ##  [40] "Pediatric diffuse intrinsic pontine gliomas (Puget 2012)"             ##  [41] "Pediatric tumor (Khan)"                                               ##  [42] "POG TCGA TARGET_NBL"                                                  ##  [43] "Single-cell RNA-seq mouse cortex (Zeisel)"                            ##  [44] "St Jude PCGP pan-cancer"                                              ##  [45] "TARGET Acute Lymphoblastic Leukemia"                                  ##  [46] "TARGET neuroblastoma"                                                 ##  [47] "(unassigned)"                                                         ##  [48] "TCGA Acute Myeloid Leukemia (LAML)"                                   ##  [49] "TCGA Adrenocortical Cancer (ACC)"                                     ##  [50] "TCGA Bile Duct Cancer (CHOL)"                                         ##  [51] "TCGA Bladder Cancer (BLCA)"                                           ##  [52] "TCGA Breast Cancer (BRCA)"                                            ##  [53] "TCGA Cervical Cancer (CESC)"                                          ##  [54] "TCGA Colon and Rectal Cancer (COADREAD)"                              ##  [55] "TCGA Colon Cancer (COAD)"                                             ##  [56] "TCGA Endometrioid Cancer (UCEC)"                                      ##  [57] "TCGA Esophageal Cancer (ESCA)"                                        ##  [58] "TCGA Formalin Fixed Paraffin-Embedded Pilot Phase II (FPPP)"          ##  [59] "TCGA Glioblastoma (GBM)"                                              ##  [60] "TCGA Head and Neck Cancer (HNSC)"                                     ##  [61] "TCGA Kidney Chromophobe (KICH)"                                       ##  [62] "TCGA Kidney Clear Cell Carcinoma (KIRC)"                              ##  [63] "TCGA Kidney Papillary Cell Carcinoma (KIRP)"                          ##  [64] "TCGA Large B-cell Lymphoma (DLBC)"                                    ##  [65] "TCGA Liver Cancer (LIHC)"                                             ##  [66] "TCGA Lower Grade Glioma (LGG)"                                        ##  [67] "TCGA lower grade glioma and glioblastoma (GBMLGG)"                    ##  [68] "TCGA Lung Adenocarcinoma (LUAD)"                                      ##  [69] "TCGA Lung Cancer (LUNG)"                                              ##  [70] "TCGA Lung Squamous Cell Carcinoma (LUSC)"                             ##  [71] "TCGA Melanoma (SKCM)"                                                 ##  [72] "TCGA Mesothelioma (MESO)"                                             ##  [73] "TCGA Ocular melanomas (UVM)"                                          ##  [74] "TCGA Ovarian Cancer (OV)"                                             ##  [75] "TCGA Pan-Cancer (PANCAN)"                                             ##  [76] "TCGA Pancreatic Cancer (PAAD)"                                        ##  [77] "TCGA Pheochromocytoma & Paraganglioma (PCPG)"                         ##  [78] "TCGA Prostate Cancer (PRAD)"                                          ##  [79] "TCGA Rectal Cancer (READ)"                                            ##  [80] "TCGA Sarcoma (SARC)"                                                  ##  [81] "TCGA Stomach Cancer (STAD)"                                           ##  [82] "TCGA Testicular Cancer (TGCT)"                                        ##  [83] "TCGA Thymoma (THYM)"                                                  ##  [84] "TCGA Thyroid Cancer (THCA)"                                           ##  [85] "TCGA Uterine Carcinosarcoma (UCS)"                                    ##  [86] "(unassigned)"                                                         ##  [87] "GDC Pan-Cancer (PANCAN)"                                              ##  [88] "GDC TARGET-AML"                                                       ##  [89] "GDC TARGET-CCSK"                                                      ##  [90] "GDC TARGET-NBL"                                                       ##  [91] "GDC TARGET-OS"                                                        ##  [92] "GDC TARGET-RT"                                                        ##  [93] "GDC TARGET-WT"                                                        ##  [94] "GDC TCGA Acute Myeloid Leukemia (LAML)"                               ##  [95] "GDC TCGA Adrenocortical Cancer (ACC)"                                 ##  [96] "GDC TCGA Bile Duct Cancer (CHOL)"                                     ##  [97] "GDC TCGA Bladder Cancer (BLCA)"                                       ##  [98] "GDC TCGA Breast Cancer (BRCA)"                                        ##  [99] "GDC TCGA Cervical Cancer (CESC)"                                      ## [100] "GDC TCGA Colon Cancer (COAD)"                                         ## [101] "GDC TCGA Endometrioid Cancer (UCEC)"                                  ## [102] "GDC TCGA Esophageal Cancer (ESCA)"                                    ## [103] "GDC TCGA Glioblastoma (GBM)"                                          ## [104] "GDC TCGA Head and Neck Cancer (HNSC)"                                 ## [105] "GDC TCGA Kidney Chromophobe (KICH)"                                   ## [106] "GDC TCGA Kidney Clear Cell Carcinoma (KIRC)"                          ## [107] "GDC TCGA Kidney Papillary Cell Carcinoma (KIRP)"                      ## [108] "GDC TCGA Large B-cell Lymphoma (DLBC)"                                ## [109] "GDC TCGA Liver Cancer (LIHC)"                                         ## [110] "GDC TCGA Lower Grade Glioma (LGG)"                                    ## [111] "GDC TCGA Lung Adenocarcinoma (LUAD)"                                  ## [112] "GDC TCGA Lung Squamous Cell Carcinoma (LUSC)"                         ## [113] "GDC TCGA Melanoma (SKCM)"                                             ## [114] "GDC TCGA Mesothelioma (MESO)"                                         ## [115] "GDC TCGA Ocular melanomas (UVM)"                                      ## [116] "GDC TCGA Ovarian Cancer (OV)"                                         ## [117] "GDC TCGA Pancreatic Cancer (PAAD)"                                    ## [118] "GDC TCGA Pheochromocytoma & Paraganglioma (PCPG)"                     ## [119] "GDC TCGA Prostate Cancer (PRAD)"                                      ## [120] "GDC TCGA Rectal Cancer (READ)"                                        ## [121] "GDC TCGA Sarcoma (SARC)"                                              ## [122] "GDC TCGA Stomach Cancer (STAD)"                                       ## [123] "GDC TCGA Testicular Cancer (TGCT)"                                    ## [124] "GDC TCGA Thymoma (THYM)"                                              ## [125] "GDC TCGA Thyroid Cancer (THCA)"                                       ## [126] "GDC TCGA Uterine Carcinosarcoma (UCS)"                                ## [127] "(unassigned)"                                                         ## [128] "ICGC (donor centric)"                                                 ## [129] "ICGC (specimen centric)"                                              ## [130] "ICGC (US donors with both RNA and SNV data)"                          ## [131] "PACA-AU"                                                              ## [132] "(unassigned)"                                                         ## [133] "GTEX"                                                                 ## [134] "TARGET Pan-Cancer (PANCAN)"                                           ## [135] "TCGA and TARGET Pan-Cancer (PANCAN)"                                  ## [136] "TCGA Pan-Cancer (PANCAN)"                                             ## [137] "TCGA TARGET GTEx"datasets(xe)[1:10]##  [1] "parsons2008cgh_public/parsons2008cgh_genomicMatrix"                      ##  [2] "parsons2008cgh_public/parsons2008cgh_public_clinicalMatrix"              ##  [3] "vijver2002_public/vijver2002_genomicMatrix"                              ##  [4] "vijver2002_public/vijver2002_public_clinicalMatrix"                      ##  [5] "chin2006_public/chin2006Exp_genomicMatrix"                               ##  [6] "chin2006_public/ucsfChinCGH2006_genomicMatrix"                           ##  [7] "chin2006_public/chin2006_public_clinicalMatrix"                          ##  [8] "Treehouse/Treehouse_Khan_neuroblastoma/"                       ##  [9] "Treehouse/Treehouse_Khan_neuroblastoma/neuroblastoma_affy_clinicalMatrix"## [10] "Treehouse/NBL_Sausen_et_al_2013_SNV.tsv"# samples(xe)[1:10]# 关于samples的用法请查看 <https://github.com/DataGeeker/XenaR/blob/master/inst/README.Rmd># 这里输出内容太多,也不是该包的主题

下载与导入数据

为了能够自定义下载所需要的数据,该包提供了XenaQuery、XenaDownload与XenaPrepare3连击。

下面以下载和导入TCGA临床数据为例进行说明,其他数据类似。

filter

查看感兴趣的数据集

xe = XenaHub(hostName = "TCGA")
xe## class: XenaHub ## hosts():##   https://tcga.xenahubs.net## cohorts() (39 total):##   (unassigned)##   TCGA Acute Myeloid Leukemia (LAML)##   TCGA Adrenocortical Cancer (ACC)##   ...##   TCGA Thyroid Cancer (THCA)##   TCGA Uterine Carcinosarcoma (UCS)## datasets() (879 total):##   TCGA.OV.sampleMap/HumanMethylation27##   TCGA.OV.sampleMap/HumanMethylation450##   TCGA.OV.sampleMap/Gistic2_CopyNumber_Gistic2_all_data_by_genes##   ...##   TCGA.MESO.sampleMap/MESO_clinicalMatrix##   TCGA.MESO.sampleMap/Pathway_Paradigm_RNASeq_And_Copy_Number

可以看到有800+个数据集,太多了。下面使用filterXena()函数进行过滤。用户可以使用全名或者正则表达式。

(filterXena(xe, filterDatasets = "clinical") -> xe2)## class: XenaHub ## hosts():##   https://tcga.xenahubs.net## cohorts() (39 total):##   (unassigned)##   TCGA Acute Myeloid Leukemia (LAML)##   TCGA Adrenocortical Cancer (ACC)##   ...##   TCGA Thyroid Cancer (THCA)##   TCGA Uterine Carcinosarcoma (UCS)## datasets() (37 total):##   TCGA.OV.sampleMap/OV_clinicalMatrix##   TCGA.DLBC.sampleMap/DLBC_clinicalMatrix##   TCGA.KIRC.sampleMap/KIRC_clinicalMatrix##   ...##   TCGA.READ.sampleMap/READ_clinicalMatrix##   TCGA.MESO.sampleMap/MESO_clinicalMatrix

不是很多了吧?注意该函数的两个参数filterCohorts与filterDatasets是相互独立的,因为核心的XenaR并没有其中一者变化,另外也跟着变化的功能。后续我会想其他办法解决。不过呢,这里因为我们主要聚焦数据集的下载和使用,cohorts可以不管。

datasets(xe2)##  [1] "TCGA.OV.sampleMap/OV_clinicalMatrix"            ##  [2] "TCGA.DLBC.sampleMap/DLBC_clinicalMatrix"        ##  [3] "TCGA.KIRC.sampleMap/KIRC_clinicalMatrix"        ##  [4] "TCGA.SARC.sampleMap/SARC_clinicalMatrix"        ##  [5] "TCGA.COAD.sampleMap/COAD_clinicalMatrix"        ##  [6] "TCGA.PRAD.sampleMap/PRAD_clinicalMatrix"        ##  [7] "TCGA.LUSC.sampleMap/LUSC_clinicalMatrix"        ##  [8] "TCGA.ACC.sampleMap/ACC_clinicalMatrix"          ##  [9] "TCGA.KICH.sampleMap/KICH_clinicalMatrix"        ## [10] "TCGA.UCS.sampleMap/UCS_clinicalMatrix"          ## [11] "TCGA.COADREAD.sampleMap/COADREAD_clinicalMatrix"## [12] "TCGA.LUNG.sampleMap/LUNG_clinicalMatrix"        ## [13] "TCGA.LUAD.sampleMap/LUAD_clinicalMatrix"        ## [14] "TCGA.FPPP.sampleMap/FPPP_clinicalMatrix"        ## [15] "TCGA.LAML.sampleMap/LAML_clinicalMatrix"        ## [16] "TCGA.GBM.sampleMap/GBM_clinicalMatrix"          ## [17] "TCGA.KIRP.sampleMap/KIRP_clinicalMatrix"        ## [18] "TCGA.PAAD.sampleMap/PAAD_clinicalMatrix"        ## [19] "TCGA.CHOL.sampleMap/CHOL_clinicalMatrix"        ## [20] "TCGA.CESC.sampleMap/CESC_clinicalMatrix"        ## [21] "TCGA.SKCM.sampleMap/SKCM_clinicalMatrix"        ## [22] "TCGA.LGG.sampleMap/LGG_clinicalMatrix"          ## [23] "TCGA.PCPG.sampleMap/PCPG_clinicalMatrix"        ## [24] "TCGA.TGCT.sampleMap/TGCT_clinicalMatrix"        ## [25] "TCGA.BLCA.sampleMap/BLCA_clinicalMatrix"        ## [26] "TCGA.THYM.sampleMap/THYM_clinicalMatrix"        ## [27] "TCGA.BRCA.sampleMap/BRCA_clinicalMatrix"        ## [28] "TCGA.UVM.sampleMap/UVM_clinicalMatrix"          ## [29] "TCGA.UCEC.sampleMap/UCEC_clinicalMatrix"        ## [30] "TCGA.LIHC.sampleMap/LIHC_clinicalMatrix"        ## [31] "TCGA.GBMLGG.sampleMap/GBMLGG_clinicalMatrix"    ## [32] "TCGA.THCA.sampleMap/THCA_clinicalMatrix"        ## [33] "TCGA.HNSC.sampleMap/HNSC_clinicalMatrix"        ## [34] "TCGA.ESCA.sampleMap/ESCA_clinicalMatrix"        ## [35] "TCGA.STAD.sampleMap/STAD_clinicalMatrix"        ## [36] "TCGA.READ.sampleMap/READ_clinicalMatrix"        ## [37] "TCGA.MESO.sampleMap/MESO_clinicalMatrix"

我只想选择肺癌相关,所以再加一些条件:

(filterXena(xe2, filterDatasets = "LUAD|LUSC|LUNG")) -> xe2

如果你很清楚你想要做的,可以使用dplyr的管道操作符进行连续过滤,不然建议一步一步挑选。

suppressMessages(require(dplyr))## Warning: 程辑包'dplyr'是用R版本3.5.1 来建造的xe %>%
    filterXena(filterDatasets = "clinical") %>%
    filterXena(filterDatasets = "luad|lusc|lung")## class: XenaHub ## hosts():##   https://tcga.xenahubs.net## cohorts() (39 total):##   (unassigned)##   TCGA Acute Myeloid Leukemia (LAML)##   TCGA Adrenocortical Cancer (ACC)##   ...##   TCGA Thyroid Cancer (THCA)##   TCGA Uterine Carcinosarcoma (UCS)## datasets() (3 total):##   TCGA.LUSC.sampleMap/LUSC_clinicalMatrix##   TCGA.LUNG.sampleMap/LUNG_clinicalMatrix##   TCGA.LUAD.sampleMap/LUAD_clinicalMatrix

过滤后返回的还是XenaHub对象。

query

接下来我们准备下载这3个选择好的数据集。

先构建一个query对象(当前还没有用类封装),就是一个数据框。存储了主机地址,下载的url等。

xe2_query = XenaQuery(xe2)

xe2_query##                       hosts                                datasets## 1 https://tcga.xenahubs.net TCGA.LUSC.sampleMap/LUSC_clinicalMatrix## 2 https://tcga.xenahubs.net TCGA.LUNG.sampleMap/LUNG_clinicalMatrix## 3 https://tcga.xenahubs.net TCGA.LUAD.sampleMap/LUAD_clinicalMatrix##                                                                             url## 1 https://tcga.xenahubs.net/download/TCGA.LUSC.sampleMap/LUSC_clinicalMatrix.gz## 2 https://tcga.xenahubs.net/download/TCGA.LUNG.sampleMap/LUNG_clinicalMatrix.gz## 3 https://tcga.xenahubs.net/download/TCGA.LUAD.sampleMap/LUAD_clinicalMatrix.gz

download

默认XenaDownload函数将下载数据到当前目录的Xena_Data目录下,如果数据已经下载,将提示并不会下载,可以使用force=TRUE强制下载,另外支持一些到download.file函数的参数。

注意该函数有返回项,可以用于后续数据的导入。

xe2_download = XenaDownload(xe2_query, destdir = "E:/Github/XenaData/test/")## We will download files to directory E:/Github/XenaData/test/.## E:/Github/XenaData/test//TCGA.LUSC.sampleMap__LUSC_clinicalMatrix.gz, the file has been download!## E:/Github/XenaData/test//TCGA.LUNG.sampleMap__LUNG_clinicalMatrix.gz, the file has been download!## E:/Github/XenaData/test//TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz, the file has been download!## Note fileNames transfromed from datasets name and / chracter all changed to __ character.

prepare

数据下载之后就可以将数据导入R,背后用的是readr包的read_tsv函数。

支持4种导入方式,大于1个文件就会生成一个列表:

  • 指定本地目录(目录下所有文件都会导入)

  • 指定本地文件

  • 指定url,如果只是少量文件,我们可以直接指定url导入,这一步不需要先下载数据到本地(但不推荐)

  • 指定XenaDownload函数返回的对象

方式1:

# way1:  directorycli1 = XenaPrepare("E:/Github/XenaData/test/")
names(cli1)## [1] "TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz"## [2] "TCGA.LUNG.sampleMap__LUNG_clinicalMatrix.gz"## [3] "TCGA.LUSC.sampleMap__LUSC_clinicalMatrix.gz"

方式2:

# way2: local filescli2 = XenaPrepare("E:/Github/XenaData/test/TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz")class(cli2)## [1] "tbl_df"     "tbl"        "data.frame"cli2 = XenaPrepare(c("E:/Github/XenaData/test/TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz",                     "E:/Github/XenaData/test/TCGA.LUNG.sampleMap__LUNG_clinicalMatrix.gz"))class(cli2)## [1] "list"names(cli2)## [1] "TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz"## [2] "TCGA.LUNG.sampleMap__LUNG_clinicalMatrix.gz"

方式3:

# way3: urlscli3 = XenaPrepare(xe2_download$url[1:2])
names(cli3)## [1] "LUSC_clinicalMatrix.gz" "LUNG_clinicalMatrix.gz"

方式4:

# way4: xenadownload objectcli4 = XenaPrepare(xe2_download)
names(cli4)## [1] "TCGA.LUSC.sampleMap__LUSC_clinicalMatrix.gz"## [2] "TCGA.LUNG.sampleMap__LUNG_clinicalMatrix.gz"## [3] "TCGA.LUAD.sampleMap__LUAD_clinicalMatrix.gz"
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