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Table 3 Summary of hsegHMM-N, hsegHMM-T, and hsegHMM-T A/AB models of a renal cell carcinoma sample: hsegHMM-T A/AB indicates the hsegHMM-T with A and AB state space; Est and logL represent estimated values for parameters and log-likelihood function values given all the estimates, respectively ; ψ is the ploidy and α is the tumor purity; κ2 is the variance component of logR in hsegHMM-T; V(W) and τ2 are the variance of logR and logOR in both models, respectively; SE H indicates the average asymptotic standard errors of estimates based on the Hessian matrices

From: hsegHMM: hidden Markov model-based allele-specific copy number alteration analysis accounting for hypersegmentation

 

hsegHMM-N

hsegHMM-T

hsegHMM-T A/AB

 

Est

SE H

Est

SE H

Est

SE H

ψ

1.62

0.003

1.61

0.003

1.60

0.003

α

0.87

0.002

0.88

0.002

0.88

0.002

κ 2

N/A

 

0.16

0.002

0.17

0.003

V(W)

0.25

0.002

0.26a

0.003 b

0.27a

0.003 b

Ï„ 2

0.57

0.012

0.58

0.012

0.57

0.014

v

N/A

 

5.50

0.185

5.48

0.218

AIC

64682.17

 

63120.48

 

62923.90

 

BIC

65934.07

 

64380.89

 

62992.03

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