Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Dai, Qi ^a   Li, Yan ^a   Liu, Xiaoqing ^b   Yao, Yuhua ^a   Cao, Yunjie ^a   He, Pingan ^a  

^a ZHEJIANG SCI TECH UNIVERSITY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHOICE OF PARAMETERS; COMBINED FEATURES; EXPERIMENTAL ASSESSMENT; POSITION INFORMATION; PREDICTION ACCURACY; SECONDARY STRUCTURAL ELEMENTS; SECONDARY STRUCTURES; STATISTICAL FEATURES;

PROTEINS;

FORECASTING;

PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; MOLECULAR GENETICS; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; SEQUENCE HOMOLOGY; SUPPORT VECTOR MACHINE;

ALGORITHMS; AMINO ACID SEQUENCE; MOLECULAR SEQUENCE DATA; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE HOMOLOGY, AMINO ACID; SUPPORT VECTOR MACHINES;

MLCS; MLOWN;

EID: 84876972087     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-152     Document Type: Article

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