about
The Current and Future Use of Ridge Regression for Prediction in Quantitative GeneticsPedigree-free estimates of heritability in the wild: promising prospects for selfing populationsFast genomic predictions via Bayesian G-BLUP and multilocus models of threshold traits including censored Gaussian data.Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Comparison of analyses of the XVth QTLMAS common dataset III: Genomic Estimations of Breeding Values.Ultrahigh Dimensional Variable Selection for Interpolation of Point Referenced Spatial Data: A Digital Soil Mapping Case Study.Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architecturesGenomic value prediction for quantitative traits under the epistatic model.Applying compressed sensing to genome-wide association studiesA bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.Predicting hybrid performance in rice using genomic best linear unbiased prediction.Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.).Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensionsA two step Bayesian approach for genomic prediction of breeding valuesEffect of the prior distribution of SNP effects on the estimation of total breeding value.Alternative strategies for selecting subsets of predicting SNPs by LASSO-LARS procedureEfficiency of genomic selection using Bayesian multi-marker models for traits selected to reflect a wide range of heritabilities and frequencies of detected quantitative traits loci in mice.Genomic selection for adjacent genetic markers of yorkshire pigs using regularized regression approachesA comparison of statistical methods for genomic selection in a mice population.Model-based prediction of human hair color using DNA variants.Sparse expression bases in cancer reveal tumor drivers.A fast and efficient approach for genomic selection with high-density markers.A fast genomic selection approach for large genomic data.Prediction and association mapping of agronomic traits in maize using multiple omic data.Hepatocellular carcinoma associated microRNA expression signature: integrated bioinformatics analysis, experimental validation and clinical significance.A genome-wide association study of fetal response to type 2 porcine reproductive and respiratory syndrome virus challenge.Whole-genome regression and prediction methods applied to plant and animal breedingImpact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic predictionEvaluation of the lasso and the elastic net in genome-wide association studies.Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection.Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease.Systematic bias of correlation coefficient may explain negative accuracy of genomic prediction.An efficient unified model for genome-wide association studies and genomic selection.Back to basics for Bayesian model building in genomic selection.Extended Bayesian LASSO for multiple quantitative trait loci mapping and unobserved phenotype prediction.Controlling the Overfitting of Heritability in Genomic Selection through Cross ValidationOn statistical methods for estimating heritability in wild populations.Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins.Exploring the areas of applicability of whole-genome prediction methods for Asian rice (Oryza sativa L.).A novel genomic selection method combining GBLUP and LASSO.
P2860
Q26798159-595370F2-F402-4EB2-AC98-4E20A467DD54Q27313303-D89E8D43-4536-43F5-BAB7-8A71979B04CEQ30652854-81C64722-369C-4EF3-9824-21541B36C233Q30882056-EE87E53B-2FDA-46B3-86CB-CBC7A9861637Q31063157-7340658E-78B1-4011-9DDA-29B6EAA35FA3Q31127145-7C290D67-5D03-4D97-8314-699B98F077DDQ33784925-51289BA1-1EC3-446D-B4E9-0282415CD4ABQ33804343-6202780D-DC1E-49E6-B35F-DA35D701D788Q33833323-0DD5F46C-4EA0-4F67-80F3-6E67A5F3FDB8Q34075466-AD3EFB64-110D-4784-8CAE-BD48CB6FF85DQ34119981-10C3362C-00FF-4674-8D31-1A9E0B4C6352Q34137042-57F9FDF4-D86E-4B4E-B520-E7D890257C75Q34284461-A645D169-A680-47D9-A5BE-7637E4AE66B4Q34284538-33D22D2F-3C76-4F12-A7E4-BF2F1BA5FA4DQ34284627-C6B76A8C-61D6-42F4-9754-1593A0277074Q34284667-3FC753A7-08D9-48DA-9261-2E1676B6D8C6Q34288031-6DB47BB9-110F-432E-8261-FAC0B05FCF4CQ34423881-8F640144-DD41-407B-A660-3C4CE96B0DACQ34470207-62A3259A-CC27-4ABE-AF58-EA756463427BQ34669698-8480FEDF-37F6-4B6F-8F8C-D6A63E238114Q35088941-7875F09F-3E42-48DB-B9CE-83CE9FBC7266Q36297144-C2B93B0D-A6AF-4FE3-B198-E5618A09A7F7Q36340629-D05F3E4D-4422-416A-A00B-6F28B6121203Q36394809-D1A4A400-D4D4-4C5C-88A5-270D15A20DBFQ36413124-9E986DAE-2B17-4515-AFEF-307E9BB63812Q36548890-BE30775C-31F8-4DBE-86BD-137A32ECD4A5Q36596450-7F96018D-F29C-479F-9B51-66A85D0575DEQ37113320-24116A36-0CEC-4FB8-992C-F07A0DBD2D13Q37362727-D8E4C068-89EE-4682-BE7A-488CF1220ECEQ38012608-A922C56A-CEA7-4736-90D0-0D28F020041FQ39509872-D9515F6E-959F-45F1-B1F0-F6D8BB5611F0Q39583119-1EFD6D64-E2DD-4079-AB40-110A4A02C6E3Q41507658-84BD93AE-11C6-499E-B7EF-3C5B5D8E0C6CQ41784540-BA1F6379-232C-4168-9630-7BBB3B162C25Q42011666-BF2E15A5-8509-4058-84ED-9CDAF98ACFC9Q42652515-F2EE8049-3560-46BB-B4CA-946B5AD8FDE0Q43666526-68A75689-143D-4415-ADC7-7261D3EA02A5Q46771006-060FD276-ADAC-46F6-9FAC-7B5523CBC143Q51020823-610095C2-2219-48FE-90AD-B13EE83C25ECQ51581857-2579ACC3-B4B5-4E45-9106-8B04EF976F2D
P2860
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
LASSO with cross-validation for genomic selection.
@en
LASSO with cross-validation for genomic selection.
@nl
type
label
LASSO with cross-validation for genomic selection.
@en
LASSO with cross-validation for genomic selection.
@nl
prefLabel
LASSO with cross-validation for genomic selection.
@en
LASSO with cross-validation for genomic selection.
@nl
P2860
P1433
P1476
LASSO with cross-validation for genomic selection.
@en
P2093
M Graziano Usai
P2860
P304
P356
10.1017/S0016672309990334
P577
2009-12-01T00:00:00Z