Authors: Ickstadt, Katja
Schwender, Holger
Title: Imputing missing genotypes with weighted k nearest neighbors
Language (ISO): en
Abstract: Missing values are a common problem in genetic association studies concerned with single nucleotide polymorphisms (SNPs). Since most statistical methods cannot handle missing values, they have to be removed prior to the actual analysis. Considering only complete observations, however, often leads to an immense loss of information. Therefore, procedures are needed that can be used to replace such missing values. In this article, we propose a method based on weighted k nearest neighbors that can be employed for imputing such missing genotypes.
Subject Headings: Genetic association study
Missing genotype
Missing value
Weighted k nearest neighbor
URI: http://hdl.handle.net/2003/25861
http://dx.doi.org/10.17877/DE290R-14444
Issue Date: 2008-11-26T14:15:40Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
tr03-08-Schwender.pdfDNB183.54 kBAdobe PDFView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.