Statistical and Computational Methods for Genetic Diseases: An Overview

Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano

Research output: Contribution to journalArticle

Abstract

The identification of causes of genetic diseases has been carried out by several approaches with increasing complexity. Innovation of genetic methodologies leads to the production of large amounts of data that needs the support of statistical and computational methods to be correctly processed. The aim of the paper is to provide an overview of statistical and computational methods paying attention to methods for the sequence analysis and complex diseases.

Original languageEnglish
Article number954598
JournalComputational and Mathematical Methods in Medicine
Volume2015
DOIs
Publication statusPublished - 2015

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)
  • Immunology and Microbiology(all)

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