z-logo
open-access-imgOpen Access
Sequence-based prediction of protein-protein interactions using ensemble based classifier combined with global encoding in HIV (human immunodeficiency virus)
Author(s) -
Delly Chipta Lestari,
M. I. S. Musti,
Alhadi Bustamam
Publication year - 2018
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5064227
Subject(s) - protein sequencing , classifier (uml) , human immunodeficiency virus (hiv) , retrovirus , computer science , computational biology , pattern recognition (psychology) , sequence (biology) , artificial intelligence , feature extraction , encoding (memory) , protein–protein interaction , peptide sequence , biology , virus , genetics , virology , gene

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom