On marker-assisted prediction of genetic value: beyond the ridge.
about
Multilocus genetic analysis of brain imagesLarge-scale sequestration of atmospheric carbon via plant roots in natural and agricultural ecosystems: why and howExploiting genomic knowledge in optimising molecular breeding programmes: algorithms from evolutionary computingIncreased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data.Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populationsIdentification of novel biomarker candidates by proteomic analysis of cerebrospinal fluid from patients with moyamoya disease using SELDI-TOF-MS.SNPs selection using support vector regression and genetic algorithms in GWAS.Bayesian shrinkage estimation of quantitative trait loci parametersCombining gene expression and molecular marker information for mapping complex trait genes: a simulation studyGenomic-assisted prediction of genetic value with semiparametric procedures.Combining genomic and genealogical information in a reproducing kernel Hilbert spaces regression model for genome-enabled predictions in dairy cattle.Empirical Bayesian elastic net for multiple quantitative trait locus mapping.Bayesian analysis for genetic architecture of dynamic traits.Comparison of classification methods for detecting associations between SNPs and chick mortality.Genomic heritability: what is it?A Bayesian antedependence model for whole genome predictionReproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.Nonparametric methods for incorporating genomic information into genetic evaluations: an application to mortality in broilers.Bayesian LASSO for quantitative trait loci mappingReducing dimensionality for prediction of genome-wide breeding values.Predicting quantitative traits with regression models for dense molecular markers and pedigree.Genomic selection of purebreds for crossbred performance.Additive genetic variability and the Bayesian alphabet.Kernel-based variance component estimation and whole-genome prediction of pre-corrected phenotypes and progeny tests for dairy cow health traits.Kernel-based whole-genome prediction of complex traits: a reviewCovariance Between Genotypic Effects and its Use for Genomic Inference in Half-Sib Families.Reliability of genomic predictions across multiple populations.Genome-wide prediction of discrete traits using Bayesian regressions and machine learning.Persistence of accuracy of genome-wide breeding values over generations when including a polygenic effectHaplotype-Based Genome-Wide Prediction Models Exploit Local Epistatic Interactions Among Markers.A nested mixture model for genomic prediction using whole-genome SNP genotypes.Genomic prediction applied to high-biomass sorghum for bioenergy production.Predictive ability of genome-assisted statistical models under various forms of gene action
P2860
Q24273369-4E633BE3-B7FA-479C-A903-90B026D0DE9EQ26850157-8D5AF2B1-ACFF-47ED-A748-D26DD7794102Q28710543-960A7F00-60BB-4BE2-9824-7B11A04FA284Q30670893-78C5CFBB-BBE1-49D4-8157-017C9A957CB2Q33482994-73B5F94F-415A-457B-811C-6DB6179394D9Q33741146-4DAEB1E2-9C0E-4C01-BE5B-E8EA6D2025C7Q34568681-0636408B-CA2C-4673-86A7-70915266DFCFQ34573313-CF19D413-C255-46CE-8AEE-A1D8DEA68917Q34618136-639BFBE2-53C0-4B72-8F85-6045047D4FD3Q34897878-6AF2A77D-B2EB-4FE4-8B17-8BC56E47F6F9Q35132312-7E375891-68B2-4768-8683-D96AE2642B67Q35244829-496EE1BB-2B15-45FC-8B57-8088F4D920CBQ35246719-E2636728-3142-4F90-832F-64E1A63E96C5Q35578180-469F102F-253B-4455-90DC-BEB5F182A2AEQ35622494-C6BDE62F-19B0-499E-AA92-D47238579516Q35863123-0F80371E-A575-4DE7-987E-64A750A76A77Q36571838-B7A1B6AA-C560-4C4F-8277-A905C8E81CE4Q36571844-629840FC-95C7-429C-92CB-1E31E705B44DQ36724265-668B8978-9CB6-4814-9B68-61AE4A7B3A28Q37164837-1A97B360-8A15-471E-A3EE-3FDEE614F86FQ37173407-2DEA9942-77BE-4AAC-BFDA-2E219259EA75Q37313553-891FFB97-F2B7-4C67-8B75-3C21DD1AB5FCQ37351831-35951FA0-C77C-44B3-9B5D-8A64FDA74F2EQ37672954-6CA90D64-AC3F-4316-B744-C088CFE57073Q38264123-DFF6CB89-1484-432B-8AD5-43212B2A1424Q39611924-57092FFB-8089-449F-B738-FF06D3602A0DQ39939455-7F380878-3FDB-4DD1-A09A-E73E4909A26FQ42087369-BFC24C25-4924-40B9-B87E-1F58D2632B19Q42260927-DBB65325-EEC3-4BD5-AEF6-C52DE16376EBQ52352327-FFCF38ED-7372-42A4-A0EC-71E136DD6FF7Q52644947-7040BE01-9E0E-4834-90E3-B9781B42C649Q54943768-0A82A759-50CD-4AD8-AD15-053B19449C2BQ58770784-815D3284-5C41-4995-9D68-24C24F9B7816
P2860
On marker-assisted prediction of genetic value: beyond the ridge.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
On marker-assisted prediction of genetic value: beyond the ridge.
@ast
On marker-assisted prediction of genetic value: beyond the ridge.
@en
On marker-assisted prediction of genetic value: beyond the ridge.
@nl
type
label
On marker-assisted prediction of genetic value: beyond the ridge.
@ast
On marker-assisted prediction of genetic value: beyond the ridge.
@en
On marker-assisted prediction of genetic value: beyond the ridge.
@nl
prefLabel
On marker-assisted prediction of genetic value: beyond the ridge.
@ast
On marker-assisted prediction of genetic value: beyond the ridge.
@en
On marker-assisted prediction of genetic value: beyond the ridge.
@nl
P2093
P2860
P1433
P1476
On marker-assisted prediction of genetic value: beyond the ridge.
@en
P2093
Daniel Gianola
Miguel A Toro
Miguel Perez-Enciso
P2860
P304
P407
P577
2003-01-01T00:00:00Z