| differential_SNP_tcga | R Documentation | 
Do difference analysis of SNP data downloaded from TCGAbiolinks
differential_SNP_tcga(snpData, sampleGroup, combineMethod = NULL)
| snpData | data.frame of SNP data downloaded from TCGAbiolinks | 
| sampleGroup | vector of sample group | 
| combineMethod | Method of combining the pvalue of multiple snp in a gene. | 
data.frame
library(TCGAbiolinks)
query <- GDCquery(
    project = "TCGA-CHOL",
    data.category = "Simple Nucleotide Variation",
    access = "open",
    legacy = FALSE,
    data.type = "Masked Somatic Mutation",
    workflow.type = "Aliquot Ensemble Somatic Variant Merging and Masking"
)
GDCdownload(query)
data_snp <- GDCprepare(query)
samples <- unique(data_snp$Tumor_Sample_Barcode)
sampleGroup <- sample(c("A", "B"), length(samples), replace = TRUE)
names(sampleGroup) <- samples
pvalue <- differential_SNP_tcga(snpData = data_snp, 
    sampleGroup = sampleGroup)
# use demo data
snpDf <- matrix(sample(c("mutation", NA), 100, replace = TRUE), 10, 10)
snpDf <- as.data.frame(snpDf)
sampleGroup <- sample(c("A", "B"), 10, replace = TRUE)
result <- differential_SNP(snpDf, sampleGroup)
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