Description Usage Arguments Value Examples
This function creates a matrix with rows (genes) and columns (mirnas) with values indicating if miRNA-gene pair is target according putative targets and negative correlation of the expression of both molecules.
1 | findTargets(mirna_rse, gene_rse, target, summarize = "group", min_cor = -0.6)
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mirna_rse |
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gene_rse |
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target |
Data.frame with two columns: gene and miRNA. |
summarize |
Character column name in colData(rse) to use to group samples and compare betweem miRNA/gene expression. |
min_cor |
Numeric cutoff for correlation value that will be use to consider a miRNA-gene pair as valid. |
mirna-gene matrix
1 2 3 4 | data(isoExample)
mirna_ma <- data.frame(gene = names(gene_ex_rse)[1:20],
mir = names(mirna_ex_rse))
corMat <- findTargets(mirna_ex_rse, gene_ex_rse, mirna_ma)
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