TCGAbiolinks (version 1.2.5)

TCGAanalyze_LevelTab: Adding information related to DEGs genes from DEA as mean values in two conditions.

Description

TCGAanalyze_LevelTab allows user to add information related to DEGs genes from Differentially expression analysis (DEA) such as mean values and in two conditions.

Usage

TCGAanalyze_LevelTab(FC_FDR_table_mRNA, typeCond1, typeCond2, TableCond1, TableCond2, typeOrder = TRUE)

Arguments

FC_FDR_table_mRNA

Output of dataDEGs filter by abs(LogFC) >=1

typeCond1

a string containing the class label of the samples in TableCond1 (e.g., control group)

typeCond2

a string containing the class label of the samples in TableCond2 (e.g., case group)

TableCond1

numeric matrix, each row represents a gene, each column represents a sample with Cond1type

TableCond2

numeric matrix, each row represents a gene, each column represents a sample with Cond2type

typeOrder

typeOrder

Value

table with DEGs, log Fold Change (FC), false discovery rate (FDR), the gene expression level for samples in Cond1type, and Cond2type, and Delta value (the difference of gene expression between the two conditions multiplied logFC)

Examples

dataNorm <- TCGAbiolinks::TCGAanalyze_Normalization(dataBRCA, geneInfo)
dataFilt <- TCGAanalyze_Filtering(tabDF = dataBRCA, method = "quantile", qnt.cut =  0.25)
samplesNT <- TCGAquery_SampleTypes(colnames(dataFilt), typesample = c("NT"))
samplesTP <- TCGAquery_SampleTypes(colnames(dataFilt), typesample = c("TP"))
dataDEGs <- TCGAanalyze_DEA(dataFilt[,samplesNT], dataFilt[,samplesTP],
"Normal", "Tumor")
dataDEGsFilt <- dataDEGs[abs(dataDEGs$logFC) >= 1,]
dataTP <- dataFilt[,samplesTP]
dataTN <- dataFilt[,samplesNT]
dataDEGsFiltLevel <- TCGAanalyze_LevelTab(dataDEGsFilt,"Tumor","Normal",
dataTP,dataTN)