Wrapper-method to select sub-set of features for classifying antimicrobial peptides
This README describes the use of a Java implementation of a wrapper-method to select a sub-set of features for machine-learning purposes. The work is originally published. If you use the data or codes provided here in your work, we would appreciate if you cite the following publication:
Beltran JA, Del Rio G, Brizuela CA. An automatic representation of peptides for effective antimicrobial activity classification. Comput Struct Biotechnol J. 2020 Feb 26;18:455-463. doi: 10.1016/j.csbj.2020.02.002. PMID: 32180904; PMCID: PMC7063200.
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This ditro contains the java executables and data sets used to test the implementation. The files are written en java, and use Weka methods.
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Version 1.0 (21/12/19)