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Table 7 The comparison of the corresponding parameters in the two HMMs for these two sets of cutoffs

From: GPRED-GC: a Gene PREDiction model accounting for 5 - 3 GC gradient

FromTolowT=0.30, highT=0.50lowT=0.31, highT=0.52
  Transition probabilitiesTraining countTransition probabilitiesTraining count
ASS0\(E^{1}_{\mathrm {H}}\)0.0519612120.045098184
ASS0\(E^{1}_{\mathrm {M}}\)0.1254905100.132353540
ASS0\(E^{1}_{\mathrm {L}}\)0.00098040.0009804
ASS0\(E^{2}_{\mathrm {H}}\)0.0343141400.027450112
ASS0\(E^{2}_{\mathrm {M}}\)0.1245105080.129412528
ASS0\(E^{2}_{\mathrm {L}}\)0.00098040.00294112
ASS1\(E^{0}_{\mathrm {H}}\)0.1194692160.101770184
ASS1\(E^{0}_{\mathrm {M}}\)0.3163725720.334071604
ASS1\(E^{0}_{\mathrm {L}}\)0.00442580.0044258
ASS1\(E^{\mathrm {H}}_{\text {term}}\)0.0663721200.055310100
ASS1\(E^{\mathrm {M}}_{\text {term}}\)0.1305312360.139381252
ASS1\(E^{\mathrm {L}}_{\text {term}}\)0.00221240.0044258
rDSS0\(rE^{2}_{\mathrm {H}}\)0.1072461480.092754128
rDSS0\(rE^{2}_{\mathrm {M}}\)0.2724643760.284058392
rDSS0\(rE^{2}_{\mathrm {L}}\)000.0028994
rDSS1\(rE^{2}_{\mathrm {H}}\)0.074074960.06790188
rDSS1\(rE^{2}_{\mathrm {M}}\)0.3796304920.385802500
rDSS1\(rE^{2}_{\mathrm {L}}\)0.00308640.0030864
rDSS2\(rE^{2}_{\mathrm {H}}\)0.0990883480.077449272
rDSS2\(rE^{2}_{\mathrm {M}}\)0.40774514320.4282461504
rDSS2\(rE^{2}_{\mathrm {L}}\)0.00113940.0022788
  1. Set1: lowT and highT are 0.30 and 0.50. Set2: lowT and highT are 0.31 and 0.52. The different probabilities before using pseudocount and their corresponding training counts are listed