Protein sequence classification with improved extreme learning machine algorithms

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Cao, Jiuwen ^a   Xiong, Lianglin ^b,c  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b YUNNAN MINZU UNIVERSITY   (China)

^c YUNNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; DATA BASE; EXTREME LEARNING MACHINE; MACHINE LEARNING; PROTEIN ANALYSIS; SEQUENCE ANALYSIS; STRUCTURE ANALYSIS; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; COMPARATIVE STUDY; EVALUATION STUDY; MOLECULAR GENETICS; PROCEDURES;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 84899539529     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/103054     Document Type: Article

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