Description Usage Arguments Value Examples

View source: R/normalization.R

Iterative proportional fitting (IPF) is used to normalize a sparse matrix.

1 | ```
IPF_alg(symLFM, numberOfIterations)
``` |

`symLFM` |
A symmetric sparse ligation frequency matrix (LFM) with binned or unbinned data. |

`numberOfIterations` |
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 `lf`

for every iteration `lossFunction`

.

1 2 3 |

AnnikaGable/chromium documentation built on July 12, 2018, 4 p.m.

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