The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability

Title
The power metric: a new statistically robust enrichment-type metric for virtual screening applications with early recovery capability
Authors
Keywords
Power metric (PM), Virtual screening, Metric, Model performance, Enrichment factor, Area under the curve (AUC), Receiver operating curve enrichment factor (ROCE), Correct classification rate (CCR), Matthews correlation coefficient (MCC), Cohen’s kappa coefficient (CKC), Relative enrichment factor (REF)
Journal
Journal of Cheminformatics
Volume 9, Issue 1, Pages -
Publisher
Springer Nature
Online
2017-02-02
DOI
10.1186/s13321-016-0189-4

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search