Penalized logistic regression for detecting gene interactions.

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A LASSO FOR HIERARCHICAL INTERACTIONS (2012, methodology): “These methods fall into three categories: Multi-step procedures, which are defined by an algorithm [Peixoto (1987), Friedman (1991), Turlach (2004), Nardi and Rinaldo (2012), Bickel, Ritov and Tsybakov (2010), Park and Hastie (2008), Wu et al.”
Privacy-Preserving Data Sharing for Genome-Wide Association Studies (2012, methodology): “For example, Park and Hastie [20] use a form of penalized logistic regression to test for detecting gene-gene interactions on a small number of SNPs.”
SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies (2009, methodology): “Then, we use L2 penalized logistic regression models (Park and Hastie, 2008) as a post-processing step to extract SNP interactions from identified SNP groups.”
Coordinate descent algorithms for lasso penalized regression (2008, methodology): “als exactly when each estimated β j enters the linear prediction model. The central path method is also applicable to penalized ℓ 2 regression and penalized estimation with generalized linear models [Park and Hastie (2006b)]. COORDINATE DESCENT ALGORITHMS FOR PENALIZED REGRESSION 3 Besides introduci”
Privacy Preserving GWAS Data Sharing (2011, methodology): “The objective function described in [4] is”