A new feature encoding scheme for HIV-1 protease cleavage site prediction

M Gök, AT Özcerit - Neural Computing and Applications, 2013 - Springer
HIV-1 protease has been the subject of intense research for deciphering HIV-1 virus
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …

[引用][C] A new feature encoding scheme for HIV-1 protease cleavage site prediction

M GÖK, AT ÖZCERIT - Neural computing & applications (Print), 2013 - pascal-francis.inist.fr
A new feature encoding scheme for HIV-1 protease cleavage site prediction CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …

A new feature encoding scheme for HIV-1 protease cleavage site prediction.

M Gök, A Özcerit - Neural Computing & Applications, 2013 - search.ebscohost.com
HIV-1 protease has been the subject of intense research for deciphering HIV-1 virus
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …

A new feature encoding scheme for HIV-1 protease cleavage site prediction

M Gök, AT Özcerit - Neural Computing and Applications, 2013 - infona.pl
HIV-1 protease has been the subject of intense research for deciphering HIV-1 virus
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …

A new feature encoding scheme for HIV-1 protease cleavage site prediction.

M Gök, A Özcerit - Neural Computing & Applications, 2013 - search.ebscohost.com
HIV-1 protease has been the subject of intense research for deciphering HIV-1 virus
replication process for decades. Knowledge of the substrate specificity of HIV-1 protease will …

[引用][C] A new feature encoding scheme for HIV-1 protease cleavage site prediction

M Gök, AT Özcerit - Neural computing & applications, 2013 - Springer

[引用][C] A new feature encoding scheme for HIV-1 protease cleavage site prediction

M Gök, AT Özcerit - Neural Computing & Applications - Springer

[引用][C] A new feature encoding scheme for HIV-1 protease cleavage site prediction

M GÖK, AT ÖZCERIT - Neural computing & applications, 2013 - Springer