Using differential geometric lars algorithm to study the expression profile of a sample of patients with latex-fruit syndrome


Natural rubber latex IgE-mediated hypersensitivity is one of the most important health problems in allergy during recent years. The prevalence of individuals allergic to latex shows an associated hypersensitivity to some plant-derived foods, especially freshly consumed fruit. This association of latex allergy and allergy to plant-derived foods is called latex-fruit syndrome. The aim of this study is to use the differential geometric generalization of the LARS algorithm to identify candidate genes that may be associated with the pathogenesis of allergy to latex or vegetable.

DOI Code: 10.1285/i20705948v4n2p227

Keywords: Latex-fruit syndrome, variable selection, penalized regression, high dimensional, LARS

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