Articles liés à Genetic Epidemiology: Prediction of Susceptibility...

Genetic Epidemiology: Prediction of Susceptibility to Complex Diseases - Couverture souple

Mao, Weidong

 
9783639407921: Genetic Epidemiology: Prediction of Susceptibility to Complex Diseases

Synopsis

Revision with unchanged content. The accessibility of high-throughput biology data brought a great deal of attention to disease association studies. High density maps of single nucleotide polymorphism (SNP's) as well as massive genotype data with large number of individuals and number of SNP's become publicly available. By now most analysis of the new data is undertaken by the statistics community. This study pursues a different line of attack on genetic susceptibility to complex disease that adheres to the computer science community. The main goal of disease association analysis is to identify gene variations contributing to the risk of susceptibility to a particular disease. There are basically two main steps in susceptibility: the haplotyping of the population (also referred as phasing) and the predicting the genetic susceptibility to diseases. A combinatorial prediction complexity measure has been proposed for case/control studies. This book is addressed to prefessionals in biology, bioinformatics, and genetic epidemiology. It is also directed towards researchers in Computer Science and Data Mining and Discovery.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Revision with unchanged content. The accessibility of high-throughput biology data brought a great deal of attention to disease association studies. High density maps of single nucleotide polymorphism (SNP's) as well as massive genotype data with large number of individuals and number of SNP's become publicly available. By now most analysis of the new data is undertaken by the statistics community. This study pursues a different line of attack on genetic susceptibility to complex disease that adheres to the computer science community. The main goal of disease association analysis is to identify gene variations contributing to the risk of susceptibility to a particular disease. There are basically two main steps in susceptibility: the haplotyping of the population (also referred as phasing) and the predicting the genetic susceptibility to diseases. A combinatorial prediction complexity measure has been proposed for case/control studies. This book is addressed to prefessionals in biology, bioinformatics, and genetic epidemiology. It is also directed towards researchers in Computer Science and Data Mining and Discovery.

Biographie de l'auteur

assistant professor:The Department of Computer Science atShippensburg University of Pennsylvania.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.