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Correction to Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set
Author(s) -
Sergio A. Pinacho-Castellanos,
César R. GarcíaJacas,
Michael K. Gilson,
Carlos A. Brizuela
Publication year - 2021
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.1c00656
Subject(s) - set (abstract data type) , antimicrobial , data set , computer science , information retrieval , data mining , computational biology , data science , artificial intelligence , biology , microbiology and biotechnology , programming language

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