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Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

机译：使用正则线性回归模型进行基因组选择：岭回归，套索，弹性网及其扩展

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Joseph O Ogutu; Torben Schulz-Streeck; Hans-Peter Piepho;
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年度 2012
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1. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions [J] . Joseph O Ogutu, Torben Schulz-Streeck, Hans-Peter Piepho BMC proceedings. . 2012,第S2期

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2. On the Prediction Accuracies of Three Most Known Regularizers : Ridge Regression, The Lasso Estimate and Elastic Net Regularization Methods [J] . Adel Aloraini International Journal of Artificial Intelligence & Applications (IJAIA) . 2017,第6期

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3. Weighted Robust Lasso and Adaptive Elastic Net Method for Regularization and Variable Selection in Robust Regression with Optimal Scaling Transformations [J] . Tarek M. Omara American Journal of Mathematics and Statistics . 2017,第2期

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4. Logistic regression classification model identifying drugs of abuse based on their ATR-FTIR spectra: Case study on LASSO and Ridge regularization methods [C] . Cătălin Negoiţă, Mirela Praisler International Symposium on Electrical and Electronics Engineering . 2019

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5. An Application of Ridge Regression and LASSO Methods for Model Selection [D] . Phillips, Katie Lynn. 2018

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6. Genomic selection using regularized linear regression models: ridge regression lasso elastic net and their extensions [O] . Joseph O Ogutu, Torben Schulz-Streeck, Hans-Peter Piepho 2012

机译：使用正则线性回归模型进行基因组选择：岭回归套索弹性网及其扩展
7. Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions [O] . Ogutu, Joseph O, Schulz-Streeck, Torben, Piepho, Hans-Peter 2012

机译：使用正则线性回归模型进行基因组选择：岭回归，套索，弹性网及其扩展

Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

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