Table 2 A list of the top 20 genes predicted from the AD-specific MPXgb model.

From: Machine learning prediction and tau-based screening identifies potential Alzheimer’s disease genes relevant to immunity

UniProt ID

HGCN symbol

Predicted probability

Q7Z591

AKNA

0.95666

Q6ZNA5

FRRS1

0.65087

Q8WXH6

RAB40A

0.58811

Q14849

STARD3

0.53379

Q8WXW3

PIBF1

0.52237

O95881

TXNDC12

0.47394

Q96QR1

SCGB3A1

0.45196

Q9UN36

NDRG2

0.43148

Q8ND76

CCNY

0.42928

Q6ZTR7

FAM92B

0.42337

Q14957

GRIN2C

0.38404

Q8IVH2

FOXP4

0.34215

O43791

SPOP

0.34097

Q6ZVW7

IL17REL

0.32126

O95727

CRTAM

0.30046

Q9UIK5

TMEFF2

0.30017

Q9BYV7

BCO2

0.29885

P61968

LMO4

0.29783

Q8N6C8

LILRA3

0.28329

Q8IWA5

SLC44A2

0.276923

  1. The Predicted probability column is the XGboost classifier probability that a particular gene belongs to the “AD positive” class.
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