Iterative proportional fitting (IPF) is used to normalize a sparse matrix.
A symmetric sparse ligation frequency matrix (LFM) with binned or unbinned data.
The number of iterations for normalization. Usually, 10 should be more than enough.
A list containing the normalized, symmetric matrix
normLFM, the dataframes with the row sums
rowBiases and the column sums
colBiases of every iteration, and a vector with the loss function
for every iteration
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