seByTumor | R Documentation |
Given a BigQueryConnection to the 2017 GDC-oriented ISB TCGA bigtables, obtain a SummarizedExperiment 'shell' rowData and colData
seByTumor(tumorCode = "LUAD", assayTblName = "RNAseq_Gene_Expression", rdColsToKeep = c("gene_name", "Ensembl_gene_id", "gene_type"), bqConnClinical, bqConnAssay, rowkey = "Ensembl_gene_id", colkey = "case_barcode", assayvbl = "HTSeq__Counts")
tumorCode |
one of the concise TCGA codes in a character string – not checked, defaults to "LUAD", lung adenocarcinoma |
assayTblName |
the name of the assay whose annotation will be used as rowData |
rdColsToKeep |
columns of assay table to use in rowData component |
bqConnClinical |
instance of BigQueryConnection from bigrquery, for access to clinical metadata – current expectation is that the BigQuery dataset is named "TCGA_bioclin_v0" and has a table called "Clinical" |
bqConnAssay |
instance of BigQueryConnection from bigrquery – current expectation is that the BigQuery dataset is named "TCGA_hg19_data_v0" |
rowkey |
name of a field to be used as key for rows |
colkey |
name of a field to use as key for samples |
assayvbl |
name of field to use for numerical values |
SummarizedExperiment
This function demonstrates the use of external resources
for rowData, colData and assay components of a SummarizedExperiment
instance. The intention is that the full complement of activities
supported by SummarizedExperiment-class
are likewise supported through this class, with
assay data and sample and feature
metadata all external and in BigQuery projects. The seByTumor
function is provided to generate an example of this approach
with minimal user configuration.
if (interactive()) { require(bigrquery) # be sure that .cgcBilling is set code = Sys.getenv("CGC_BILLING") if (!(nchar(code)==0)) { clinQ = cgcConn(billing=code) assayQ = cgcConn( dataset = "TCGA_hg38_data_v0", billing=code ) myexpShell = seByTumor( bqConnClinical=clinQ, bqConnAssay=assayQ) print(myexpShell) print(nrow(myexpShell) == 60483) print(ncol(myexpShell) == 515) # 7/18/2018 assay(myexpShell[11:15,1:4]) # some case_barcodes repeat } }
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