A novel sequence-structure approach for accurate prediction of resistance to HIV-1 protease inhibitors

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Volumn , Issue , 2007, Pages 952-958

  Masso, Majid ^a   Vaisman, Iosif I ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

HIV 1 drug resistance; HIV 1 protease inhibitors; Machine learning; Resistance mutations; Statistical geometry

Indexed keywords

BIOINFORMATICS; DATA STRUCTURES; LEARNING SYSTEMS; ROBOT LEARNING;

HIV-1 DRUG RESISTANCE; HIV-1 PROTEASE INHIBITORS; MACHINE LEARNING; RESISTANCE MUTATIONS; STATISTICAL GEOMETRY;

LEARNING ALGORITHMS;

EID: 47649127913     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2007.4375673     Document Type: Conference Paper

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