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Table 6 True positive and false positive rates for simulation 1

From: A Bayesian Change point model for differential gene expression patterns of the DosR regulon of Mycobacterium tuberculosis

  

Δ fold = log 2

Δ fold = log 1.5

p(D | M)

SNR = 100

TP

0.54

1.0

1.0

 

FP

0

0

0

SNR = 16

TP

0.48

1.0

1.0

 

FP

0

0

0

SNR = 4

TP

0.53

0.86

0.92

 

FP

0.01

0.1

0.02

  1. The true gene expression change is two-fold. Δ fold denotes the thresholds used in the fold change approach, and p(D | M) the marginal data likelihood as computed in equation 1.
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BMC Genomics

ISSN: 1471-2164

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