Description Usage Arguments Value Author(s) See Also
Plot ROC or precision-recall curves for motifs search benchmark
1 2 3 4 5 6 7 8 9 10 11 | benchmarkMotifsROC(res, data_type = c("both", "query", "all")[1],
col_query = c("grey"), col_all = c("black"), ...,
text_args = "col = \"black\"", ROCR_data = F,
legend_args = "x = 0.8 | y = 0.25", x_query = 0.25, x_all = 0.75,
measure1 = "tpr", measure2 = "fpr", single_metric = c("auc",
"prbe")[1], single_metric_name = c("Median AUC",
"Precision-recall break-even point")[1],
summarise_single_metric = c("median", "")[1],
both_metrics_vs_cutoff = F)
mBenchmarkMotifsROC(res_list, data_type = "query", ...)
|
res |
object class |
... |
args passed to |
text_args |
character 1L, arguments to |
ROCR_data |
logical, return ROC performance data? If FALSE the function only plots ROC curve |
legend_args |
character 1L, arguments to |
measure1 |
character, for example "tpr" or "prec", details: ?ROCR::performance |
measure2 |
character, for example "fpr" or "rec", details: ?ROCR::performance |
res_list |
list of objects of class |
type |
benchmark (test if known motifs were observed) in query proteins or in all proteins the sequences of which were used in QSLIMFinder search |
benchmarkMotifsROC: list of ROCR objects (prediction, performance, auc.performance) used to plot ROC curve
mBenchmarkMotifsROC: list of lists of ROCR objects (prediction, performance, auc.performance) used to plot ROC curve
Vitalii Kleshchevnikov
Vitalii Kleshchevnikov
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