Skip to main content

Table 2 Top 20 genes

From: Tissue-based Alzheimer gene expression markers–comparison of multiple machine learning approaches and investigation of redundancy in small biomarker sets

GA/SVM

Information gain

Random forest

Overall

loc642711

flj11903

loc283345

loc283345

prkxp1

tncrna

flj11903

pcyox1l

loc283345

loc283755

loc642711

c6orf151

sst

ptpn3

gprasp2

mid1ip1

ly6h

pcyox1l

tncrna

bcl6

ercc3

ppih

pcyox1l

ppih

loc643287

hsd17b7

mid1ip1

maff

tnni3k

gprasp2

pdzd11

sst

cdk2ap1

loc283345

maff

hsd17b7

fbxo16

c6orf151

loc283755

cdc37

gem

mettl7a

flj25477

ep300

taf3

mrps22

bcl6

flj11903

znf415

cdc37

palld

loc645352

loc285927

nfkbia

loc645352

prr11

mael

fam63a

eif3s12

taf3

supv3l1

rad51c

slc12a7

terf2ip

c6orf151

anp32b

mgc12488

scrib

fam54b

ubxd4

nfkbia

pdzd11

pcyox1l

terf2ip

c6orf151

gprasp2

ep300

bcl6

atp5b

mxi1a

  1. The top 20 genes selected by the three feature selection methods. Additionally, an overall gene list of all three methods is shown. The genes occurring in all four lists are highlighted in bold.