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Table 3 Selected features obtained after applying feature selection techniques

From: Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes

Features category

Network features

Sequence features

Functional features

Clustering Coefficient

Charge

GO:0006916 ~ anti-apoptosis

Degree

Isoelectric Point

GO:0010942 ~ positive regulation of cell death

Average Shortest Path Length

R = Arg

GO:0043068 ~ positive regulation of programmed cell death

Closeness Centrality

Acidic

GO:0043066 ~ negative regulation of apoptosis

Neighborhood Connectivity

 

GO:0009725 ~ response to hormone stimulus

GO:0009719 ~ response to endogenous stimulus

GO:0043005 ~ neuron projection

GO:0010941 ~ regulation of cell death

GO:0010033 ~ response to organic substance

GO:0032268 ~ regulation of cellular protein metabolic process

GO:0019899 ~ enzyme binding

Mutagenesis site

GO:0044093 ~ positive regulation of molecular function

GO:0008219 ~ cell death

Transmembrane protein

Lipoprotein

Active site: Proton acceptor

GO:0016023 ~ cytoplasmic membrane-bounded vesicle

GO:0042802 ~ identical protein binding

GO:0031982 ~ vesicle

Disease mutation

GO:0042127 ~ regulation of cell proliferation

GO:0000267 ~ cell fraction

GO:0005624 ~ membrane fraction