wTO.aux.each calculte the wTO for each one of the resamplings.

1 | ```
wTO.aux.each(n, Data, Overlap, method, method_resampling, lag, ID)
``` |

`n` |
Number of bootstraps / reshuffles to be run for the estimatives of the "Threshold" or "pval". |

`Data` |
data.frame containing the count / expression data for the correlation. |

`Overlap` |
Nodes of interested, where the Overlapping weights will be computed. |

`method` |
Type of the correlation that should be used. "s" / "spearman" will compute the rank spearman correlation, "p" / "pearson" will compute the linear correlation. If no value is given, the default is to use "s". |

`method_resampling` |
method of the resampling. Bootstrap or Reshuffle. Bootstrap null hypothesis is that the wTO is random, and Reshuffle tests if the wTO is equal to zero. |

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