- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2156
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Imputation of missing genotypes: an empirical evaluation of IMPUTE ; volume:9 ; number:1 ; day:12 ; month:12 ; year:2008 ; pages:1-8 ; date:12.2008
BMC genetics ; 9, Heft 1 (12.12.2008), 1-8, 12.2008
- Creator
-
Zhao, Zhenming
- Contributor
-
Timofeev, Nadia
Hartley, Stephen W.
Chui, David HK
Fucharoen, Supan
Perls, Thomas T.
Steinberg, Martin H.
Baldwin, Clinton T.
Sebastiani, Paola
SpringerLink (Online service)
- DOI
-
10.1186/1471-2156-9-85
- URN
-
urn:nbn:de:1111-2016041532289
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:03 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhao, Zhenming
- Timofeev, Nadia
- Hartley, Stephen W.
- Chui, David HK
- Fucharoen, Supan
- Perls, Thomas T.
- Steinberg, Martin H.
- Baldwin, Clinton T.
- Sebastiani, Paola
- SpringerLink (Online service)
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IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS
Multiple imputation of missing data in multilevel research
imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters
Missing value imputation for epistatic MAPs
Imputation of missing genotypes within LD-blocks relying on the basic coalescent and beyond: consideration of population growth and structure
Two-stage strategy using denoising autoencoders for robust reference-free genotype imputation with missing input genotypes
Mendelian imputation of parental genotypes improves estimates of direct genetic effects
Imputation of high-density genotypes in the Fleckvieh cattle population
Imputation of missing genotypes in genetic studies through generalizations of the basic coalescent
Imputation of missing values in lipidomic datasets
Missing Data, Imputation, and Endogeneity
Imputing missing genotypes: effects of methods and patterns of missing data
IMPUTATION OF MISSING VALUES BY USING RAW MOMENTS
Multiple imputation of missing data in multilevel research
imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters
Missing value imputation for epistatic MAPs
Imputation of missing genotypes within LD-blocks relying on the basic coalescent and beyond: consideration of population growth and structure
Two-stage strategy using denoising autoencoders for robust reference-free genotype imputation with missing input genotypes
Mendelian imputation of parental genotypes improves estimates of direct genetic effects