iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory

Molecular Informatics

Volumn 36, Issue 5, 2017, Pages

  Qiu, Wang Ren ^a,b   Sun, Bi Qian ^a   Xiao, Xuan ^a,c   Xu, Dong ^b   Chou, Kuo Chen ^c,d  

^a JINGDEZHEN CERAMIC INSTITUTE   (China)

^b University of Missouri   (United States)

^c GORDON LIFE SCIENCE INSTITUTE   (United States)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Chou's general PseAAC; Disease related phosphorylation; Evolutionary information; Fusion ensemble classifier; Grey system model; Random forest classifiers

Indexed keywords

CLASSIFICATION (OF INFORMATION); PROTEINS; SYSTEM THEORY; VOTING MACHINES;

CHOU GENERAL PSEUDO AMINO ACID COMPOSITION; DISEASE-RELATED PHOSPHORYLATION; ENSEMBLE-CLASSIFIER; EVOLUTIONARY INFORMATION; FUSION ENSEMBLE CLASSIFIER; GRAY SYSTEM THEORY; GREY SYSTEM MODEL; PROTEIN SEQUENCES; PSEUDO AMINO ACID COMPOSITIONS; RANDOM FOREST CLASSIFIER;

PHOSPHORYLATION;

ARGININE; CYSTEINE; LYSINE; PHOSPHOPROTEIN; SERINE; THREONINE; TYROSINE;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; DNA SEQUENCE; GENE DUPLICATION; GENE FUSION; GREY SYSTEM THEORY; HUMAN; INDEL MUTATION; JACKKNIFE TEST; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN MODIFICATION; PROTEIN PHOSPHORYLATION; PROTEIN PROTEIN INTERACTION; RANDOM FOREST; RNA SEQUENCE; SEQUENCE ALIGNMENT; SYSTEMS THEORY; ALGORITHM; BIOLOGY; CHEMISTRY; CLASSIFICATION; GENETICS; MOLECULAR EVOLUTION; PROCEDURES; SOFTWARE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; EVOLUTION, MOLECULAR; HUMANS; PHOSPHOPROTEINS; SOFTWARE; SYSTEMS THEORY;

EID: 84969836704     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201600010     Document Type: Article

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