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Maribor
June 20, 2007 to June 22, 2007
ISBN: 0-7695-2905-4
pp: 465-470
Iuri Fanti , University of Roma TRE, Italy
Mattia CF Prosperi , University of Roma TRE, Italy
Giovanni Ulivi , University of Roma TRE, Italy
Alessandro Micarelli , University of Roma TRE, Italy
ABSTRACT
Human immunodefieciency virus type 1 (HIV-1) isolates differ in their use of coreceptors to enter target cells. This has important implications for both viral pathogenicity and susceptibility to entry inhibitors under development. Predicting HIV-1 coreceptor usage on the basis of sequence information is a challenging task due to the high variability of the HIV-1 genome. We present an efficient local smoothing kernel method, enhanced with a BLAST-based distance function, implemented by usage of multithreading grid procedures and indexing. Robust validation of the model is achieved through multiple cross-validation, along with statistical comparisons of results for performance assessment.
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CITATION
Iuri Fanti, Mattia CF Prosperi, Giovanni Ulivi, Alessandro Micarelli, "HIV-1 Coreceptor Usage Prediction via Indexed Local Kernel Smoothing Methods and Grid-Based Multiple Statistical Validation", CBMS, 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) 2007, pp. 465-470, doi:10.1109/CBMS.2007.55
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