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TCGAbiolinks (version 1.0.10)

TCGAanalyze_copynumber: Identifying Segment Gain Or Loss (SGOL)

Description

Identifying Segment Gain Or Loss (SGOL) using findMCR package Example: query <- TCGAquery("acc","genome_wide_snp_6", level = 3) TCGAdownload(query,"trash") data <- TCGAprepare(query,"trash", type = "nocnv_hg19")

Usage

TCGAanalyze_copynumber(data = NULL, threshold = 0)

Arguments

data
Copy number data from TCGAPrepare
threshold
Gain/Loss threshold

Value

List of list with tables in 2 by 2 comparison of the top-ranked genes from a linear model fitted by DEA's limma

Examples

Run this code
## Not run: 
#  query <- TCGAquery("acc", platform = "genome_wide_snp_6", level = 3)
#  TCGAdownload(query,path = "trash", samples = "TCGA-OR-A5JH-01A-11D-A309-01")
#  segment_data <- TCGAprepare(query, dir = "trash",  type = "nocnv_hg19",
#                     samples = "TCGA-OR-A5JH-01A-11D-A309-01")
#  TCGAanalyze_copynumber(segment_data)
# ## End(Not run)

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