A new statistic to evaluate imputation reliability.
<h4>Background</h4>As the amount of data from genome wide association studies grows dramatically, many interesting scientific questions require imputation to combine or expand datasets. However, there are two situations for which imputation has been problematic: (1) polymorphisms with lo...
Saved in:
Main Authors: | Peng Lin, Sarah M Hartz, Zhehao Zhang, Scott F Saccone, Jia Wang, Jay A Tischfield, Howard J Edenberg, John R Kramer, Alison M Goate, Laura J Bierut, John P Rice, COGA Collaborators COGEND Collaborators, GENEVA |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2010
|
Subjects: | |
Online Access: | https://doaj.org/article/83e2f397fb844d3db9a032c559805d02 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An imputation approach for oligonucleotide microarrays.
by: Ming Li, et al.
Published: (2013) -
An accurate and robust imputation method scImpute for single-cell RNA-seq data
by: Wei Vivian Li, et al.
Published: (2018) -
Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases
by: Manav Kapoor, et al.
Published: (2021) -
An imputation platform to enhance integration of rice genetic resources
by: Diane R. Wang, et al.
Published: (2018) -
Association of imputed prostate cancer transcriptome with disease risk reveals novel mechanisms
by: Nima C. Emami, et al.
Published: (2019)