LASSO-type estimators for semiparametric nonlinear mixed-effects model estimation. Statistics and Computing, 2013, 24(3): 443 - 460.Arribas-Gil, A., Bertin, K., Meza, C., and Rivoirard, V. Lasso-type estimators for semi- parametric nonlinear mixed-effects models estimation. Statistics and ...
Foster, S., et al. (2007). Incorporating lasso effects into a mixed model for quantitative trait loci detection.J. Agric. Biol. Environ. Stat., 12, 300-314. Fusi, N., et al. (2012). Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in ge...
Foster, S., et al. (2007). Incorporating lasso effects into a mixed model for quantitative trait loci detection. J. Agric. Biol. Environ. Stat., 12, 300-314. Fusi, N., et al. (2012). Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in ...
Python用Lasso改进线性混合模型Linear Mixed Model分析拟南芥和小鼠复杂性状遗传机制多标记表型预测可视化,在生物医学领域,探究可遗传性状的遗传基础是关键挑战之一。对于受多基因位点多因素控制的性状,准确检测其关联存在诸多困难,
Python用Lasso改进线性混合模型Linear Mixed Model分析拟南芥和小鼠复杂性状遗传机制多标记表型预测可视化 全文链接:https://tecdat.cn/?p=38800 原文出处:拓端数据部落公众号 在生物医学领域,探究可遗传性状的遗传基础是关键挑战之一。对于受多基因位点多因素控制的性状,准确检测其关联存在诸多困难,且易受群体结构等混杂...
Python用Lasso改进线性混合模型Linear Mixed Model分析拟南芥和小鼠复杂性状遗传机制多标记表型预测可视化 全文链接:https://tecdat.cn/?p=38800 *原文出处:拓端数据部落公众号* 在生物医学领域,探究可遗传性状的遗传基础是关键挑战之一。对于受多基因位点多因素控制的性状,准确检测其关联存在诸多困难,且易受群体结构等...
Python用Lasso改进线性混合模型Linear Mixed Model分析拟南芥和小鼠复杂性状遗传机制多标记表型预测可视化 全文链接:https://tecdat.cn/?p=38800 在生物医学领域,探究可遗传性状的遗传基础是关键挑战之一。对于受多基因位点多因素控制的性状,准确检测其关联存在诸多困难,且易受群体结构等混杂因素影响产生假阳性结果(点击文...
The objective of plsmmLasso is to facilitate the estimation of a Regularized Partial Linear Semiparametric Mixed-Effects Model (PLSMM) through a dictionary approach for modeling the nonparametric component. The model employs a set of bases functions and automatically selects them using a lasso penalty...
modelprediction.Atthesametime,itintroducestheattentioninformationofthe newsoftheEconomicDailyconstructedbyusingtheLDAmodel,andcompares theeffectsofvariousregularizedmixedfrequencymodelsandparameter-driven mixeddatamodelsonGDPprediction.Theempiricalresultsshowthatthemodel constructedinthispaperhasachievedthebestpredictioneffect...
The lasso--a novel method for predictive covariate model building in nonlinear mixed effects models. The lasso cross-validation provided a precise and nearly unbiased estimate of the actual prediction error. On a single processor, the lasso was faster ... J Ribbing,J Nyberg,O Caster,... - ...