Description Usage Arguments Value Author(s)

Quantile normalization of the bin counts. After such normalization, each sample has exactly the same global bin count distribution.

1 | ```
quant.norm(bc.df, nb.cores = 1, norm.stats.comp = TRUE)
``` |

`bc.df` |
a data.frame with 'chr', 'start', 'end' columns and then one column per sample with its bin counts. |

`nb.cores` |
the number of cores to use. Default is 1. |

`norm.stats.comp` |
Should some statistics on the normalized bin count be computed (mean, sd, outliers). Default is TRUE. |

a list with

`norm.stats` |
a data.frame witht some metrics about the normalization of each bin (row) : coverage average and standard deviation; number of outlier samples |

`bc.norm` |
a data.frame, similar to the input 'bc.df', with the normalized bin counts. |

Jean Monlong

jmonlong/PopSV documentation built on July 1, 2018, 10:14 p.m.

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