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Table 1 Evaluation of training sets based on their performance of measures

From: Computational enhancer prediction: evaluation and improvements

Class Training set Name Difference to randoma in REDfly recovery at cutoff Difference to random in training set sensitivity at cutoff Difference to random in expression pattern precision at cutoff
Good mapping1.blastoderm 11.28777 15.29412 65.08609
mapping1.ectoderm 6.000862 12.83019 39.83357
mapping1.endoderm 16.77476 10 39.38912
mapping1.glia 5.071332 60 16.60124
mapping1.tracheal_system 6.446144 37.27273 12.83098
mapping1.visceral_mesoderm 15.07699 30 20.70558
mapping2.glia 6.586659 60 6.326622
mapping1.adult_mesoderm 6.49964 26.66667 4.764122
mapping1.mesectoderm 4.541295 60 5.389122
mapping1.ventral_ectoderm 4.046977 32.22222 23.96055
Intermediate mapping1.amnioserosa 0.839151 35 26.15835
mapping1.malpighian_tubules 3.107168 26.66667 0.389122
mapping1.dorsal_ectoderm 1.833739 45.71429 18.03063
mapping1.mesoderm −0.00957 32.41379 23.1669
mapping1.neuroectoderm −1.26327 37.77778 12.6305
mapping1.pns −1.52394 10 18.57753
mapping1.salivary_gland 24.95711 −4.28571 8.722456
mapping1.somatic_muscle 4.778675 8.717949 18.46605
mapping2.ectoderm 0.548001 8 51.79938
mapping2.mesoderm 13.1938 −10.0935 44.00023
mapping2.wing −2.08398 7.727273 5.225188
Poor mapping1.cns −2.33838 0.909091 61.32319
mapping1.eye −4.91517 35 −0.61088
mapping2.eye −3.869981 13.57143 0.040285
mapping1.female_gonad −15.4483 −1.53846 23.96055
mapping1.imaginal_disc −4.60542 0.740741 17.05579
mapping1.male_gonad −5.34252 1.176471 −4.61088
mapping2.neuronal −3.78756 −2.7451 66.44175
mapping2.reproductive_system 1.796743 −18.125 −4.61088
  1. a “Random” refers to the averaged results of 62 random training sets of 30 sequences each (see text)