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

Authors

  • Luigi Augugliaro University of Palermo
  • Angelo Marcello Mineo University of Palermo

DOI:

https://doi.org/10.1285/i20705948v4n2p227

Keywords:

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

Abstract

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.

Author Biographies

Luigi Augugliaro, University of Palermo

Dipartimento di Scienze Statistiche e Matematiche

Angelo Marcello Mineo, University of Palermo

Dipartimento di Scienze Statistiche e Matematiche

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Published

14-10-2011