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Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interac...

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interac...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3169764251

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

About this item

Full title

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

Publisher

United States: Oxford University Press

Journal title

G3 : genes - genomes - genetics, 2019-04, Vol.9 (4), p.1117-1129

Language

English

Formats

Publication information

Publisher

United States: Oxford University Press

More information

Scope and Contents

Contents

Abstract
Mixed models can be considered as a type of penalized regression and are everyday tools in statistical genetics. The standard mixed model for whole genome regression (WGR) is ridge regression best linear unbiased prediction (RRBLUP) which is based on an additive marker effect model. Many publications have extended the additive WGR appro...

Alternative Titles

Full title

Lost in Translation: On the Problem of Data Coding in Penalized Whole Genome Regression with Interactions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3169764251

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3169764251

Other Identifiers

ISSN

2160-1836

E-ISSN

2160-1836

DOI

10.1534/g3.118.200961

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