Open AccessPlant-mSubP: a computational framework for the prediction of single- and multi-target protein subcellular localization using integrated machine-learning approaches
Author(s) -
Sitanshu Sekhar Sahu,
Cristian D Loaiza,
Rakesh Kaundal
Publication year - 2019
Publication title -
aob plants
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.998
H-Index - 39
ISSN - 2041-2851
DOI - 10.1093/aobpla/plz068
Subject(s) - pseudo amino acid composition , subcellular localization , artificial intelligence , proteome , composition (language) , computer science , dual (grammatical number) , function (biology) , support vector machine , plant protein , computational biology , set (abstract data type) , protein sequencing , feature (linguistics) , biology , pattern recognition (psychology) , peptide sequence , biochemistry , microbiology and biotechnology , gene , literature , food science , linguistics , cytoplasm , art , programming language , philosophy
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