HIV rules

Mining association rules for HIV-1 protease cleavage site prediction

Several machine learning techniques, like neural networks, nonlinear support vector machines and decision trees, have been used to model the specificity of HIV-1 protease and to extract specific patterns from peptides cleaved by this protease. Despite many studies, no perfect rules are already known to determine the cleavage of a peptide by HIV-1 protease. These rules are useful for designing s...

Fuzzy rules in asymptomatic HIV virus infected individuals model

The purpose of this paper is to study of the evolution of positive HIV population for manifestation of AIDS (Acquired Immunideficiency Syndrome). Our main interest is to model the transference rate in this stage. For this purpose, we use expert information on transference rate because it strongly depends of the viral load and of the level 4 CD +of the infected individuals. More specifically, th...

HIV-1 genotypic drug resistance interpretation rules - 2009 Spanish guidelines.

Interpreting the results of drug resistance tests for HIV-1 is one of the most difficult tasks for both clinicians and virologists. There are many amino acid changes in viral proteins influencing the susceptibility to specific drugs, causing loss of activity or conversely hypersusceptibility. Moreover, the results of interactions derived from complex mutational patterns are difficult to predict...

Quadrature Rules for Fuzzy Integrals

Sparql Rules! Sparql Rules!

As the data and ontology layers of the Semantic Web stack have achieved a certain level of maturity in standard recommendations such as RDF and OWL, the current focus lies on two related aspects. On the one hand, the definition of a suitable query language for RDF, SPARQL, seems to be close to candidate recommendation status within the W3C. The establishment of the rules layer on top of the exi...