rowcorMatVec: Calculate correlation between rows of a matrix and a vector
In nickytong/GenAnalysis: Genomic Analysis

Calculate correlation between rows of a matrix and a vector

rowcorMatVec(mat, vec, meta = list(tag = "correlation", row = "expression",
  response = "response"), method = "spearman", minN = 5, usercorr = TRUE,
  addData = TRUE, symbol = NULL, sepSymProbe = ", ", FDR = NULL,
  pcutoff = 0.05, alphas = c(0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5),
  addBum = NULL)

`mat`	a matrix, i.e. gene expression
`vec`	a vector of phenotype, continuous variable
`meta`	meta information, a list. This can specify what type of analysis (i.e. RPPA correlated with EMT score); row, which represents what row variables are (rows of mat); response represents what does vec mean
`method`	method passed to correlation calculation. It can be spearman or pearson
`minN`	minimum sample size for correlation calculation; If not achieved, correlation is returned as NA
`usercorr`	whether to use rcorr package for speeded calculation (using Fortran)
`symbol`	in case this is probe level data, user can specify a vector of symbols matching
`sepSymProbe`	separator for symbol-probe. That is, symbol+sepSymProbe+probe(rowname) is the new rowname
`FDR`	FDR to create bum for the p values, passed to create_bum()
`pcutoff`	pcutoff passed to create_bum()
`alphas`	alphas passed to create_bum()