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Detection of gene-gene interactions using multistage sparse and low-rank regression

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Publication:2805184
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DOI10.1111/biom.12374zbMath1393.62069arXiv1304.3769OpenAlexW1964041216WikidataQ36599363 ScholiaQ36599363MaRDI QIDQ2805184

Su-Yun Huang, Hung Hung, Yu-Ting Lin, Jung-Ying Tzeng, Penweng Chen, Chen-Chien Wang

Publication date: 10 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1304.3769

zbMATH Keywords

asymptotic normalitysparsitylow-rank approximationgene-gene interactionsLasso screeningover-parametrizationscreen-and-clean


Mathematics Subject Classification ID

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


Related Items

Efficient Signal Inclusion With Genomic Applications


Uses Software

  • PLINK


Cites Work

  • The commutation matrix: Some properties and applications
  • High-dimensional variable selection
  • Relaxed Lasso
  • p-Values for High-Dimensional Regression
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