Statistical methods of SNP data analysis and applications

Авторы: Bulinski A., Butkovsky O., Sadovnichy V., Shashkin A., Yaskov P., Balatskiy A., Samokhodskaya L., Tkachuk V.
Журнал: Open Journal of Statistics
Том: 2
Номер: 1
Год издания: 2012
Первая страница: 73
Последняя страница: 87
DOI: 10.4236/ojs.2012.21008
Аннотация: We develop various statistical methods important for multidimensional genetic data analysis. Theorems justifying application of these methods are established. We concentrate on the multifactor dimensionality reduction, logic regression, random forests, stochastic gradient boosting along with their new modifications. We use complementary approaches to study the risk of complex diseases such as cardiovascular ones. The roles of certain combinations of single nucleotide polymorphisms and non-genetic risk factors are examined. To perform the data analysis concerning the coronary heart disease and myocardial infarction the Lomonosov Moscow State University supercomputer “Chebyshev” was employed.
Добавил в систему: Булинский Александр Вадимович

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