publication . Article . 2005

Data mining of the GAW14 simulated data using rough set theory and tree-based methods.

Liang-Ying Wei; Cheng-Lung Huang; Chien-Hsiun Chen;
Open Access English
  • Published: 01 Dec 2005 Journal: BMC Genetics, volume 6, issue Suppl 1, page S133 (issn: 1471-2156, Copyright policy)
  • Publisher: Springer Nature
Abstract
<p>Abstract</p> <p>Rough set theory and decision trees are data mining methods used for dealing with vagueness and uncertainty. They have been utilized to unearth hidden patterns in complicated datasets collected for industrial processes. The Genetic Analysis Workshop 14 simulated data were generated using a system that implemented multiple correlations among four consequential layers of genetic data (disease-related loci, endophenotypes, phenotypes, and one disease trait). When information of one layer was blocked and uncertainty was created in the correlations among these layers, the correlation between the first and last layers (susceptibility genes and the d...
Subjects
free text keywords: Genetics(clinical), Genetics, Proceedings, QH426-470

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