Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Peek, Andrew S ^a  

^a INTEGRATED DNA TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE FILTERING; NATURALLY OCCURRING; NUCLEOTIDE COMPOSITION; PREDICTIVE ACCURACY; PREDICTIVE MODELS; SECONDARY STRUCTURES; SUPPORT VECTOR MACHINE REGRESSIONS; TRAINING AND TESTING;

INTERFERENCE SUPPRESSION; MAPPING; MATHEMATICAL MODELS; REGRESSION ANALYSIS; RNA; THERMODYNAMICS;

SUPPORT VECTOR MACHINES;

SMALL INTERFERING RNA;

ACCURACY; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; GENE MAPPING; NUCLEOTIDE SEQUENCE; PREDICTION; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; RNA INTERFERENCE; RNA SEQUENCE; RNA STRUCTURE; STUDENT T TEST; SUPPORT VECTOR MACHINE; THERMODYNAMICS; VALIDATION PROCESS; ALGORITHM; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION; GENETICS; METHODOLOGY; MOLECULAR GENETICS; PHYSIOLOGY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

ALGORITHMS; BASE SEQUENCE; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, GENETIC; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; REGRESSION ANALYSIS; RNA INTERFERENCE; RNA, SMALL INTERFERING; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, RNA;

EID: 34447274081     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-182     Document Type: Article

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