A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening Data

Volume: 59, Issue: 1, Pages: 463 - 476
Published: Dec 19, 2018
Abstract
In Quantitative Structure–Activity Relationship (QSAR) modeling, one must come up with an activity model but also with an applicability domain for that model. Some existing methods to create an applicability domain are complex, hard to implement, and/or difficult to interpret. Also, they often require the user to select a threshold value, or they embed an empirical constant. In this work, we propose a trivial to interpret and fully automatic...
Paper Details
Title
A Distance-Based Boolean Applicability Domain for Classification of High Throughput Screening Data
Published Date
Dec 19, 2018
Volume
59
Issue
1
Pages
463 - 476
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