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. 2019 Apr 8;20:175. doi: 10.1186/s12859-019-2777-6

Table 1.

AIC and BIC values, computed using gamlss, for a number of non-inflated and inflated distribution models of the null probability density function of the T statistic, along with their (rounded) effective degrees of freedom (DF)

Non-inflated Model Inflated Model
Model AIC BIC DF AIC BIC DF
Promoter
 BE -486,026 -485,855 17 -486,229 -486,041 19
 GB1 -488,175 -487,961 22 -488,408 -488,181 23
 logitNO -487,985 -487,895 9 -492,544 -492,384 16
 logitTF -493,963 -493,792 18 -493,944 -493,762 19
logitSST -494,260 -494,019 25 -494,242 -493,992 26
Gene body
 BE -482,633 -482,474 17 -482,608 -482,440 18
 GB1 -484,822 -484,615 27 -484,798 -484,581 23
 logitNO -490,890 -490,730 17 -490,872 -490,702 18
 logitTF -495,777 -495,594 19 -495,751 -495,560 20
logitSST -498,362 -498,133 24 -498,337 -498,099 25

The results were obtained by fitting each model to T statistic values within promoter regions and gene bodies obtained from all six reference/reference comparisons. Entries in bold highligth the proposed model, which is shown here to produce the best AIC and BIC scores

BE: beta distribution; GB1: generalized beta type 1 distribution; logitNO: logit normal distribution; logitTF: logit t-family distribution; logitSST: logit skewed Student’s t distribution