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Table 1 List of prior distributions used in the global model

From: A Bayesian model for classifying all differentially expressed proteins simultaneously in 2D PAGE gels

Global parameterθi

Prior distributionp(θi)

μ g

Normal ∼ (μ = −3,σ = 5)

σ g

Γ -1 (shape = 0.001, rate = 0.001)

ψ

Uniform ∼ (0.001, 2)

λ δ

Exponential ∼ (λ = 1)

ϕ δ

Beta ∼ (alpha = 2,beta = 2)

μ κ

Normal(μ = 0,σ = 3)

σ κ 2

Γ-1 ∼ (shape = 0.001,rate = 0.001)

μ τ

Normal ∼ (μ = 0,σ = 3)

σ τ 2

Γ-1 ∼ (shape = 0.001,rate = 0.001)

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BMC Bioinformatics

ISSN: 1471-2105

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