Application of artificial neural networks to link genetic and environmental factors to DNA methylation in colorectal cancer.

Journal: Epigenomics
Published Date: Jan 1, 2015

Abstract

AIMS: We applied artificial neural networks (ANNs) to understand the connections among polymorphisms of genes involved in folate metabolism, clinico-pathological features and promoter methylation levels of MLH1, APC, CDKN2A(INK4A), MGMT and RASSF1A in 83 sporadic colorectal cancer (CRC) tissues, and to link dietary and lifestyle factors with gene promoter methylation.

Authors

  • Fabio Coppedè
    Department of Translational Research & New Technologies in Medicine & Surgery, Division of Medical Genetics, University of Pisa, Medical School, Via Roma 55, 56126 Pisa, Italy.
  • Enzo Grossi
    Villa Santa Maria Foundation, Tavernerio, Italy. enzo.grossi@bracco.com.
  • Angela Lopomo
  • Roberto Spisni
  • Massimo Buscema
    Semeion Research Center,00128 Rome,Italy.m.buscema@semeion.it.www.semeion.itwww.researchgate.net/profile/Massimo_Buscema.
  • Lucia Migliore

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