Support vector machine for classification of meiotic recombination hotspots and coldspots in Saccharomyces cerevisiae based on codon composition

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Zhou, Tong ^a   Weng, Jianhong ^a   Sun, Xiao ^a   Lu, Zuhong ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID COMPOSITIONS; CLASSIFICATION ACCURACY; DOUBLE-STRAND BREAKS; HIGH FREQUENCY HF; MEIOTIC RECOMBINATIONS; RECOMBINATION RATE; SEQUENCE INFORMATIONS; SVM-BASED METHODS;

AMINO ACIDS; FORECASTING; GENES; YEAST;

SUPPORT VECTOR MACHINES;

AMINO ACID; DOUBLE STRANDED DNA; FUNGAL DNA; CODON;

ACCURACY; AMINO ACID COMPOSITION; ARTICLE; CLASSIFICATION; CODON USAGE; CONTROLLED STUDY; CORRELATION ANALYSIS; DNA SEQUENCE; DNA STRAND BREAKAGE; GENE FREQUENCY; GENE FUNCTION; GENE STRUCTURE; GENETIC RECOMBINATION; LEARNING THEORY; MATHEMATICAL COMPUTING; MEIOSIS; NONHUMAN; OPEN READING FRAME; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SACCHAROMYCES CEREVISIAE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHROMOSOME MAP; CODON; CYTOLOGY; FUNGAL GENOME; GENETICS; PROCEDURES;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHROMOSOME MAPPING; CODON; GENOME, FUNGAL; MEIOSIS; PATTERN RECOGNITION, AUTOMATED; RECOMBINATION, GENETIC; SACCHAROMYCES CEREVISIAE; SEQUENCE ANALYSIS, DNA;

EID: 33646692717     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-223     Document Type: Article

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