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Table 2 List of proposal distributions for both global and local parameters

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

Global parameterθi

Proposal distributionq(θ*|θi)

μ g

Truncated-Normal  (μ = μ g , lower = d, upper = log 2 (100))

σ g

Truncated-Normal  (μ = σ g , lower = 0.01)

ψ

Truncated-Normal  (μ = ψ, lower = 0.001, upper = 2)

λ δ

Truncated-Normal  (μ = λ δ , lower = 0.01)

ϕ δ

ϕ δ ' = Normal  (μ = ln[ϕ δ /(1-ϕ δ )]), ϕ δ * = exp(ϕ δ ')/[1 + exp(ϕ δ ')]

μ κ

Normal  (μ = μ κ )

σ κ

Truncated-Normal  (μ = σ κ , lower = 0.01)

μ τ

Normal  (μ = μ τ )

σ τ

Truncated-Normal  (μ = σ τ , lower = 0.01)

Local parameter θ i

Proposal distribution q(θ*|θ i )

μ s

Normal  (μ = μ s )

δ s

Normal  (μ = δ s )

κ s

Normal  (μ = κ s )

τ s

Normal  (μ = τ s )

  1. d = limit of detection. The standard deviation for all proposal distributions are controlled by the tuning parameters.