PRROC - Precision-Recall and ROC Curves for Weighted and Unweighted Data
Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006) <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014) <doi:10.1371/journal.pone.0092209>; Grau et al. (2015) <doi:10.1093/bioinformatics/btv153>.
Last updated 6 years ago
8.29 score 51 packages 1.0k scripts 13k downloadsDepLogo - Dependency Logo
Plots dependency logos from a set of aligned input sequences.
Last updated 9 months ago
2.41 score 26 scripts 226 downloads