Model 1 Model 2 Model 3a Model 3b Model 4a Model 4b Model 5 Model 6 # of SV 1 1 2 2 32 32 7 3 log L 39 -546 -496 -546 -478 -377 -388 -413 # params 20 3 7 12 37 192 12 8 AIC -39 1098 1005 1116 1030 1139 800 841 BIC 4 1105 1020 1142 1110 1550 826 858 # of SV=Number of splicing variants; log L= log likelihood; # of params=Number of parameters; AIC=Akaike information criterion; BIC=Bayesian information criterion. Model 1=Mclust model; Model 2=One splice variant; Model 3=Known splice variants; Model 4=All possible splice variants; Model 5=Known and high mixture proportions splice variants; Model 6=Manually selected splice variants the a. and b. define the normal model or the extended model respectively

Table 3: SLC2A10 model results.