Table 1.

Enriched KEGG pathways of genes identified by machine learning and conventional fold-change (FC) methods, respectively.

	Machine learning	FC method 1	FC method 2
1	Alzheimer's disease	Complement and coagulation cascades	GABAergic synapse
2	Parkinson's disease	Staphylococcus aureus infection	Morphine addiction
3	Huntington's disease	Phagosome	MAPK signaling pathway
4	Thermogenesis	Pertussis	Retrograde endocannabinoid signaling
5	Oxidative phosphorylation	Legionellosis	Nicotine addiction
6	Neurotrophin signaling pathway	Rheumatoid arthritis	Butanoate metabolism
7	MAPK signaling pathway	Malaria
8	Acute myeloid leukemia	Systemic lupus erythematosus
9	Non-alcoholic fatty liver disease (NAFLD)	Prion diseases
10	Retrograde endocannabinoid signaling	Cytokine-cytokine receptor interaction
11	FoxO signaling pathway	TNF signaling pathway
12	Endometrial cancer	Kaposi's sarcoma-associated herpesvirus infection
13	Alcoholism	MAPK signaling pathway
14	Influenza A	Ras signaling pathway
15	Serotonergic synapse	Influenza A