Open AccessSequence-based prediction of protein-protein interactions using pseudo substitution matrix representation features and ensemble rotation forest classifier in HIV (human immunodeficiency virus)
Author(s) -
Delly Chipta Lestari,
Susilo Hartomo,
Alhadi Bustamam
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5064224
Subject(s) - classifier (uml) , computer science , protein–protein interaction , protein sequencing , artificial intelligence , computational biology , random forest , ensemble learning , human immunodeficiency virus (hiv) , machine learning , feature extraction , pseudo amino acid composition , pattern recognition (psychology) , biology , peptide sequence , virology , microbiology and biotechnology , genetics , amino acid , gene , dipeptide
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