computeLRsgivenBins: Compute Likelihood Ratios (LR) for testing set
In califano-lab/OncoSig: What the package does (short line)

Description Usage Arguments Examples

This is a helper function for OncoSigNB. After training on a training set, this function computes LRs on a new testing set. Note that labels must be provided for the testing set as well.

1	computeLRsgivenBins(df_1, the_bins, the_bins_info)

`df_1`
`the_bins`
`the_bins_info`

##---- 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 (df_1, the_bins, the_bins_info) 
{
    the_min = -1e+45
    the_max = 1e+43
    df_1[is.na(df_1)] <- -1e+23
    df_1_copy = df_1
    for (i in 3:ncol(df_1)) {
        df_1_copy[, i] = .bincode(df_1_copy[, i], c(the_min, 
            the_bins[i - 2][[1]], the_max), right = FALSE)
    }
    for (i in 3:ncol(df_1)) {
        df_1_copy[, i] = replaceBinswithLR(df_1_copy[, i], the_bins_info[i - 
            2][[1]])
    }
    return(df_1_copy)
  }