Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models
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Title
Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models
Authors
Keywords
Cell-penetrating peptide, Pseudo-amino acid composition, Minimum redundancy maximum relevance, Incremental feature selection, Random forest
Journal
AMINO ACIDS
Volume 47, Issue 7, Pages 1485-1493
Publisher
Springer Nature
Online
2015-04-17
DOI
10.1007/s00726-015-1974-5
References
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