Graph-Based Feature Selection Approach for Molecular Activity Prediction
Author:
Affiliation:
1. Department of Computing and Numerical Analysis, University of Córdoba, Campus de Rabanales, Albert Einstein Building, E-14071 Córdoba, Spain
Funder
Junta de Andaluc??a
Ministerio de Ciencia e Innovaci??n
European Commission
Universidad de C??rdoba
Funding for open access charge: Universidad de C??rdoba / CBUA
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.1c01578
Reference62 articles.
1. FeatureSelect: a software for feature selection based on machine learning approaches
2. Choosing Feature Selection and Learning Algorithms in QSAR
3. MIFS-ND: A mutual information-based feature selection method
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