ThorbenMaa

`modisco meme` command does not return trimmed motifs and no negative patterns but only positive ones

3

This worked for me to get all motifs out: ``` import click import h5py import numpy as np @click.command() @click.option( "--reportFile", "report_file", required=True, multiple=False, type=str, default="modisco_resultshypothetical_contribution_scores_mean_diffTeloHEAC_CTRL_vs_6h.npz.h5", help="e.g. modico output", )...

Build in an option to change the "positive" class in sklearn.metrics.precision_recall_curve and sklearn.metrics.roc_curve

5

### Describe the workflow you want to enable In some cases, it is nice to compare a machine learning classifier with experimental data using ROC or Precision-Recall Curves. For (e.g.)...