Accounting for linkage disequilibrium in genome-wide association studies: a penalized regression method

DOI10.4310/SII.2013.v6.n1.a10zbMath1327.62505WikidataQ34231112 ScholiaQ34231112MaRDI QIDQ897196

Jin Liu, Jian Huang, Kai Wang, Shuangge Ma

Publication date: 17 December 2015

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

linkage disequilibriumpenalized regressionfeature selectiongenetic associationsingle nucleotide polymorphism

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

The construction of transcriptional risk scores for breast cancer based on lightGBM and multiple omics data

Uses Software

• glmnet
• ElemStatLearn
• sparsenet

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