Skip to main content

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)