Prediction of Different Classes of Promiscuous and Nonpromiscuous Compounds Using Machine Learning and Nearest Neighbor Analysis
Author(s) -
Thomas Blaschke,
Filip Miljković,
Jürgen Bajorath
Publication year - 2019
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.9b00492
Subject(s) - promiscuity , weighting , k nearest neighbors algorithm , computer science , artificial intelligence , computational biology , machine learning , data mining , biology , physics , ecology , acoustics
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