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Machine learning methods in chemoinformatics
J.B.O. Mitchell
School of Chemistry
Biomedical Sciences Research Complex
EaSTCHEM
Research output
:
Contribution to journal
›
Article
›
peer-review
359
Citations (Scopus)
7
Downloads (Pure)
Overview
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Projects
(1)
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Dive into the research topics of 'Machine learning methods in chemoinformatics'. Together they form a unique fingerprint.
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Chemical Engineering
Learning System
100%
Supervised Learning
33%
Support Vector Machine
33%
Neural Network
33%
Earth and Planetary Sciences
Support Vector Machine
33%
Supervised Learning
33%
Structure-Activity Relationship
33%
Computer Science
Nave Bayes
50%