A data mining approach for classifying DNA repair genes into ageing-related or non-ageing-related.

ABSTRACT:

Background

The ageing of the worldwide population means there is a growing need for research on the biology of ageing. DNA damage is likely a key contributor to the ageing process and elucidating the role of different DNA repair systems in ageing is of great interest. In this paper we propose a data mining approach, based on classification methods (decision trees and Naive Bayes), for analysing data about human DNA repair genes. The goal is to build classification models that allow us to discriminate between ageing-related and non-ageing-related DNA repair genes, in order to better understand their different properties.

Results

The main patterns discovered by the classification methods are as follows: (a) the number of protein-protein interactions was a predictor of DNA repa

SUBMITTER: Freitas AA 

PROVIDER: S-EPMC3031233 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature