Imputing missing genotypes with weighted k nearest neighbors

Simple item page
dc.contributor.authorIckstadt, Katja
dc.contributor.authorSchwender, Holger
dc.date.accessioned2008-11-26T14:15:40Z
dc.date.available2008-11-26T14:15:40Z
dc.date.issued2008-11-26T14:15:40Z
dc.description.abstractMissing 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.en
dc.identifier.urihttp://hdl.handle.net/2003/25861
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14444
dc.language.isoende
dc.subjectGenetic association studyen
dc.subjectMissing genotypeen
dc.subjectMissing valueen
dc.subjectWeighted k nearest neighboren
dc.subject.ddc004
dc.titleImputing missing genotypes with weighted k nearest neighborsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
tr03-08-Schwender.pdf
Size:
183.54 KB
Format:
Adobe Portable Document Format
Description:
DNB
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.92 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Sonderforschungsbereich (SFB) 475