A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes

Table 1

The GO annotations of EDA-SVM feature genes.

Gene name; Uigene ID	Biological process	Cellular component	Molecular function
SPIB; (Hs.437905)	GO:0006350 Transcription	GO:0005634 Nucleus	GO:0003700 Transcription factor activity
	GO:0006357 Regulation of transcription from RNA polymerase II promoter	GO:0005737 Cytoplasm	GO:0003702: RNA polymerase II transcription factor activity
IRF8; (Hs.137427)	GO:0000122 Negative regulation of transcription from RNA polymerase II promoter	GO:0005634 Nucleus	GO:0003705: RNA polymerase II transcription factor activity, enhancer binding
	GO:0006355 Regulation of transcription, DNA-dependent
	GO:0006350 Transcription
	GO:0006955 Immune response
NFKB2; (Hs.73090)	Go:0006355 Regulation of transcription, DNA-dependent	GO:0005634 Nucleus	GO:0005515 Protein binding
		GO:0005737 Cytoplasm	GO:0003713 Transcription coactivator activity
	GO:0007165 Signal transduction		GO:0003700 Transcription factor activity
LMO2; (Hs.34560)	GO:0008270 Development	GO:0005634 Nucleus	GO:0008270 Zinc ion binding
			GO:0005515 Protein binding
			GO:0046872 Metal ion binding
FCGRT; (Hs.111903)	GO:0019882 Antigen presentation	GO:0042612 MHC class I protein complex	GO:0019864 IgG binding
	GO:0007565 Pregnancy	GO:0016021 Integral to membrane	GO:0004872 Receptor activity
	GO:0006955 Immune response		GO:0030106 MHC class I receptor activity
BCL7B; (Hs.408219)	Unknown	Unknown	GO:0003779 Actin binding