gatherCors
Please refer to the file /inst/doc/readme.pdf.
gatherCors(data, cor_method = c("spearman", "pearson", "kendall"), HG7 = NULL, ERCC = NULL, TN = NULL, TC = NULL, CR = NULL, NR = NULL, DESeq = NULL, UQ = NULL, TMM = NULL, TU = NULL, GAPDH = NULL, pre_ratio = 0.5, lower_trim = 0.05, upper_trim = 0.65, rounds = 1e+06)
data
: Please refer to the file /inst/doc/readme.pdf.cor_method
: Please refer to the file /inst/doc/readme.pdf.HG7
: Please refer to the file /inst/doc/readme.pdf.ERCC
: Please refer to the file /inst/doc/readme.pdf.TN
: Please refer to the file /inst/doc/readme.pdf.TC
: Please refer to the file /inst/doc/readme.pdf.CR
: Please refer to the file /inst/doc/readme.pdf.NR
: Please refer to the file /inst/doc/readme.pdf.DESeq
: Please refer to the file /inst/doc/readme.pdf.UQ
: Please refer to the file /inst/doc/readme.pdf.TMM
: Please refer to the file /inst/doc/readme.pdf.TU
: Please refer to the file /inst/doc/readme.pdf.GAPDH
: Please refer to the file /inst/doc/readme.pdf.pre_ratio
: Please refer to the file /inst/doc/readme.pdf.lower_trim
: Please refer to the file /inst/doc/readme.pdf.upper_trim
: Please refer to the file /inst/doc/readme.pdf.rounds
: Please refer to the file /inst/doc/readme.pdf.##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets. ## The function is currently defined as function (data, cor_method = c("spearman", "pearson", "kendall"), HG7 = NULL, ERCC = NULL, TN = NULL, TC = NULL, CR = NULL, NR = NULL, DESeq = NULL, UQ = NULL, TMM = NULL, TU = NULL, GAPDH = NULL, pre_ratio = 0.5, lower_trim = 0.05, upper_trim = 0.65, rounds = 1e+06) { methodsList <- list(HG7 = HG7, ERCC = ERCC, TN = TN, TC = TC, CR = CR, NR = NR, DESeq = DESeq, UQ = UQ, TMM = TMM, TU = TU, GAPDH = GAPDH) specifiedMethods <- methodsList[!unlist(lapply(methodsList, is.null))] numMethod <- length(specifiedMethods) method_range <- seq(1, numMethod, 1) ubq_genes <- identifyUbq(data, pre_ratio = pre_ratio, lower_trim = lower_trim, upper_trim = upper_trim, min_ubq = 100) cor_value_method <- NULL for (j in method_range) { norm.matrix <- getNormMatrix(data, specifiedMethods[[j]]) dataUse2Cor <- norm.matrix[ubq_genes, ] cor.result <- getCor(dataUse2Cor, method = cor_method, rounds = rounds) cor_vm <- cbind(cor.result, rep(names(specifiedMethods)[j], times = round(rounds))) cor_value_method <- rbind(cor_value_method, cor_vm) } colnames(cor_value_method) <- c("Value", "Methods") return(cor_value_method) }
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