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BIODATAMINING
2008

Neural networks for genetic epidemiology: past, present, and future

8 years 8 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughput SNP technologies have created a wealth of data; however, the analysis and interpretation of these data have created a research bottleneck. While technology facilitates the measurement of hundreds or thousands of genes, statistical and computational methodologies are lacking for the analysis of these data. New statistical methods and variable selection strategies must be explored for identifying disease susceptibility genes for common, complex diseases. Neural networks (NN) are a class of pattern recognition methods that have been successfully implemented for data mining and prediction in a variety of fields. The application of NN for statistical genetics studies is an active area of research. Neural networks have been applied in both linkage and association analysis for the identification of disease suscept...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where BIODATAMINING
Authors Alison A. Motsinger-Reif, Marylyn D. Ritchie
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