Mixed Modeling with Whole Genome Data
Objective. We consider the need for a modeling framework for related individuals and various sources of variations. The relationships could either be among relatives in families or among unrelated individuals in a general population with cryptic relatedness; both could be refined or derived with who...
Main Authors: | Jing Hua Zhao, Jian'an Luan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2012/485174 |
Similar Items
-
Bayesian Linear Mixed Models with Polygenic Effects
by: Jing Hua Zhao, et al.
Published: (2018-06-01) -
Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data
by: Benjamin Sobkowiak, et al.
Published: (2018-08-01) -
HLA typing from 1000 genomes whole genome and whole exome illumina data.
by: Endre Major, et al.
Published: (2013-01-01) -
Deep Whole-Genome Sequencing to Detect Mixed Infection of Mycobacterium tuberculosis.
by: Mingyu Gan, et al.
Published: (2016-01-01) -
Whole-genome sequencing data of Kazakh individuals
by: Ulykbek Kairov, et al.
Published: (2021-02-01)