Fast rule-based bioactivity prediction using associative classification mining.
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ABSTRACT:
SUBMITTER: Yu P
PROVIDER: S-EPMC3515428 | biostudies-literature | 2012 Nov
REPOSITORIES: biostudies-literature
Publications
Fast rule-based bioactivity prediction using associative classification mining.
Journal of cheminformatics 20121123 1
Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety of techniques from statistics, data mining and machine learning have been applied to this process. In this study, we utilize a collection of methods, called associative classification mining (ACM), which are popular in the data mining community, but so far have not been applied widely in cheminformatics. More specifically, classification ba ...[more]
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