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Table 4 The predictive ability of four basic methods and ELPGV, and the comparison p-value between ELPGV and others in CD, UC, IBD with IBDGC dataset

From: Ensemble learning for integrative prediction of genetic values with genomic variants

Method

CD

UC

IBD

Predictive ability

p-value

Predictive ability

p-value

Predictive ability

p-value

ELPGV

0.4516 ± 0.0065

—

0.7920 ± 0.0045

—

0.4253 ± 0.0071

—

BayesA

0.4359 ± 0.0067

1.058E−15

0.7817 ± 0.0045

7.365E−25

0.4128 ± 0.0075

2.470 E−13

BayesB

0.4338 ± 0.0063

4.932E−13

0.7831 ± 0.0047

4.845E−16

0.4052 ± 0.0067

1.911E−14

BayesCÏ€

0.4452 ± 0.0063

3.938E−07

0.7845 ± 0.0047

3.878E−13

0.4171 ± 0.0068

5.272E−10

GBLUP

0.3692 ± 0.0063

3.659E−34

0.6687 ± 0.0052

3.314E−56

0.3455 ± 0.0079

9.965E−35

  1. ELPGV is the ensemble learning based on BayesA, BayesB, BayesCÏ€ and GBLUP
  2. — Represents no explicit result was found in this method
  3. Crohn disease (CD) and ulcerative colitis disease (UC)