Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Bayesian Logic Regression for SNP Data

Bayesian Logic Regression for SNP Data

Fritsch, Arno

Paperback

Medical Reference

ISBN10: 3639051300
ISBN13: 9783639051308
Publisher: Blues Kids Of Amer
Published: Jul 3 2008
Pages: 80
Weight: 0.26
Height: 0.17 Width: 6.00 Depth: 9.00
Language: English
Advances in genetic sequencing technology make it possible to study the effect of genetic variations on the risk of developing a complex disease, such as cancer. The most common form of genetic variations are the Single Nucleotide Polymorphisms (SNPs). Logic regression is a powerful statistical tool for identifying interactions of SNPs that might be associated with a disease. Logic regression however only finds a single best fitting model for the data, while usually there are many models that fit almost equally well. The author Arno Fritsch shows how by embedding logic regression in the framework of Bayesian statistics this drawback can be overcome. The book gives an introduction to both logic regression and Bayesian statistics and shows how the two can be combined. It is demonstrated that considering more than one plausible logic regression model can substantially improve predictions of the disease status. The book is intended for bioinformaticians, epidemiologists and statisticians involved in analyzing SNP data.

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