A combined data mining approach for infrequent events: analyzing HIV mutation changes based on treatment history.

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference

Volumn , Issue , 2006, Pages 385-388

  Lin, Ray S ^a   Rhee, Soo Yon ^a   Shafer, Robert W ^a   Das, Amar K ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIRETROVIRUS AGENT;

AREA UNDER THE CURVE; ARTICLE; BIOLOGY; FACTUAL DATABASE; GENETIC DATABASE; GENETICS; GENOTYPE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; METHODOLOGY; MUTATION; NUCLEOTIDE SEQUENCE; REGRESSION ANALYSIS; STATISTICAL MODEL; TIME;

ANTI-RETROVIRAL AGENTS; AREA UNDER CURVE; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DATABASES, GENETIC; DNA MUTATIONAL ANALYSIS; GENOTYPE; HIV; HIV INFECTIONS; HIV SEROPOSITIVITY; HUMANS; MODELS, STATISTICAL; MUTATION; REGRESSION ANALYSIS; TIME FACTORS;

MLCS; MLOWN;

EID: 34250888065     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781860947575_0046     Document Type: Article

References (0)