Advanced research methodology: introduction to the study of complex systems and its applications. part vii: studies on gene interaction (epistasis and machine learning)

Authors

  • Lucas Costa Laboratorio de Aprendizaje Biológico y Artificial (LBAL). Instituto de Ciencias Básicas y Medicina Experimental. Hospital Italiano de Buenos Aires
  • Pablo Argibay Laboratorio de Aprendizaje Biológico y Artificial (LBAL). Instituto de Ciencias Básicas y Medicina Experimental. Hospital Italiano de Buenos Aires

DOI:

https://doi.org/10.51987/Rev.Hosp.Ital.B.Aires.v34i1.806

Keywords:

mendelian genetics, epistasis, genotype-phenotype relationship, data mining, machine learning

Abstract

In medicine, there are few genetic diseases that can be explained by the presence of a monogenic disorder, rather it is in the complex interactions of genes and extragenic factors where we can find the molecular underpinnings of some diseases. Epistasis is the phenomenon of interaction of genes, resulting in a particular phenotypic trait, behavior or molecular process related, inter alia with various diseases. It is a complex phenomenon and is currently part of the analysis that aims to link the combinatorial interaction of genes with a particular disease. A machine learning method, called multifactor dimensionality reduction (MDR) is presented as an interesting alternative to traditional parametric methods for detecting and characterizing nonlinear interactions among genes

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Published

2014-03-30

How to Cite

1.
Costa L, Argibay P. Advanced research methodology: introduction to the study of complex systems and its applications. part vii: studies on gene interaction (epistasis and machine learning). Rev Hosp Ital B.Aires [Internet]. 2014 Mar. 30 [cited 2026 Aug. 21];34(1):27-30. Available from: https://ojs.hospitalitaliano.org.ar/index.php/revistahi/article/view/806

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