Gene selection: a Bayesian variable selection approach

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Stability selection (2008, methodology): “Lee et al. (2003) or Sha et al. (2004) are examples of more applied papers considering Bayesian variable selection in this context.”
The Bayesian revolution in genetics (2004, background): “The advantage of this approach is that great flexibility can be introduced into deciding the level of stringency of discriminatio”
High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics (2008, methodology): “The standard mixture priors (sometimes referred to as “slab and spike” priors) have been used effectively in ANOVA and related models for gene expression (Broet, Richardson, and Radvanyi 2002; Ishwaran and Rao 2003, 2005; Lee, Sha, Dougherty, Vannucci, and Mallick 2003; Do, Müller, and Tang 2005).”
Bayesian variable selection for high dimensional generalized linear models : Convergence rates of the fitted densities (2007, neutral): “34 58 v1 [ m at h. ST ] 1 8 O ct 2 00 7 The Annals of Statistics 2007, Vol. 35, No. 4, 1487–1511 DOI: 10.1214/009053607000000019 c© Institute of Mathematical Statistics, 2007 BAYESIAN VARIABLE SELECTION FOR HIGH DIMENSIONAL”