corf.RdInternal function used by imirage.cv, imirage.cv.loop, and imirage.cv to filter informative protein coding genes based on correlation with miRNA expression.
corf(train_pcg, train_mir, gene_index, num = 50, target = "none")
| train_pcg | training protein coding expression dataset. a numeric matrix with row names indicating samples, and column names indicating protein coding gene IDs. |
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| train_mir | training miRNA expression dataset. a numeric matrix with row names indicating samples, and column names indicating miRNA IDs |
| gene_index | either gene name (character) or index (column number) of the miRNA to be imputed. |
| num | number of informative protein coding genes to be used in constructing imputation model. Default is 50 genes. |
| target | "none" (default), "ts.pairs", or dataframe/matrix/list. this argument accepts character strings to indicate the use of all candidate genes as predictors ("none), or use built-in TargetScan miRNA-gene pairs ("ts.pairs"). also accepts a dataframe , matrix or list object containing a column with names of miRNA and a column with the names of target genes. |
a numeric matrix containing subset of protein coding genes correlated with miRNA of interest.