Predicting the types of j-proteins using clustered amino acids

BioMed Research International

Volumn 2014, Issue , 2014, Pages

  Feng, Pengmian ^a   Lin, Hao ^b   Chen, Wei ^a   Zuo, Yongchun ^c  

^a HEBEI UNITED UNIVERSITY   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c INNER MONGOLIA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; DIPEPTIDE; PROTEIN; TRIPEPTIDE; TYPE 1 J PROTEIN; TYPE 2 J PROTEIN; TYPE 3 J PROTEIN; TYPE 4 J PROTEIN; UNCLASSIFIED DRUG; CHAPERONE; HEAT SHOCK PROTEIN 40;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; CELL DEATH; CONTROLLED STUDY; INTERMETHOD COMPARISON; JACKKNIFE TEST; PATTERN RECOGNITION; PREDICTION; PROTEIN EXPRESSION; RANDOM FOREST; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; GENETICS; HUMAN; METABOLISM; PROTEIN DATABASE;

AMINO ACID SEQUENCE; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; DATABASES, PROTEIN; HSP40 HEAT-SHOCK PROTEINS; HUMANS; MOLECULAR CHAPERONES; SUPPORT VECTOR MACHINES;

EID: 84899558261     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2014/935719     Document Type: Article

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