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Table 4 The differences between any two of the four datasets calculated by the P value of Mann-Whitney U test or Chi-squared test

From: Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

Features   AD-associated dataset Control dataset AD-predicted dataset Non-mental-health dataset
Gene length
(Mann-Whitney U test)
AD- associated set < 2.2E-16 0.01607 0.002573
Control dataset < 2.2E-16 < 2.2E-16 < 2.2E-16
AD-predicted dataset 0.01607 < 2.2E-16 0.2018
Non-mental-health dataset 0.002573 < 2.2E-16 0.2018
Length of 3’ UTR
(Mann-Whitney U test)
AD-associated set < 2.2E-16 0.109 0.1131
Control dataset < 2.2E-16 < 2.2E-16 < 2.2E-16
AD-predicted dataset 0.109 < 2.2E-16 0.0003546
Non-mental-health dataset 0.1131 < 2.2E-16 0.0003546
Length of 5’ UTR
(Mann-Whitney U test)
AD-associated dataset 1.17E-13 0.4351 0.008426
Control dataset 1.17E-13 < 2.2E-16 3.05E-13
AD-predicted dataset 0.4351 < 2.2E-16 0.000159
Non-mental-health dataset 0.008426 3.05E-13 0.000159
Transcript count
(Mann-Whitney U test)
AD-associated dataset < 2.2E-16 0.2962 0.0006213
Control dataset < 2.2E-16 < 2.2E-16 < 2.2E-16
AD-predicted dataset 0.2962 < 2.2E-16 0.0006213
Non-mental-health dataset 0.0006213 < 2.2E-16 0.0006213
Number of exon
(Mann-Whitney U test)
AD-associated dataset < 2.2E-16 0.1314 0.3506
Control dataset < 2.2E-16 < 2.2E-16 < 2.2E-16
AD-predicted dataset 0.1314 < 2.2E-16 0.1537
Non-mental-health dataset 0.3506 < 2.2E-16 0.1537
Transmembrane domain
(Chi-square test)
AD- associated set 0.03783 0.8109 0.6143
Control dataset 0.03783 0.01107 0.0448
AD-predicted dataset 0.8109 0.01107 0.302
Non-mental-health dataset 0.6143 0.0448 0.302
Signal domain
(Chi-square test)
AD- associated set 3.70E-07 0.89 3.54E-05
Control dataset 3.70E-07 1.20E-08 0.006176
AD-predicted dataset 0.89 1.20E-08 1.12E-08
Non-mental-health dataset 3.54E-05 0.006176 1.12E-08
Paralog
(Chi-square test)
AD- associated set < 2.2E-16 0.05604 0.0007944
Control dataset < 2.2E-16 < 2.2E-16 < 2.2E-16
AD-predicted dataset 0.05604 < 2.2E-16 5.19E-13
Non-mental-health dataset 0.0007944 < 2.2E-16 5.19E-13