make.a.tidy.dataset: make a tidy dataset
In cancerdatasci/ceres: CERES for R

Takes a list of matrices with similar row and column names and runs tidyr::gather across each to make a "long" dataset with a column of values for each matrix in the list.

1 2	make.a.tidy.dataset(datasets, na.rows = TRUE, na.cols = FALSE, use.dims = NULL, dim.names = c("Gene", "Sample"))

`datasets`	list of matrices (columns are samples, rows are genes)
`na.rows`	if TRUE, add NAs for missing rows, otherwise they are removed
`na.cols`	if TRUE, add NAs for missing columns, otherwise they are removed
`use.dims`	either an integer or character vector of length 1
`dim.names`	character vector of length two - these become the column labels in the tidy dataset for the rownames and colnames of the original matrices