Sequence-dependent prediction of recombination hotspots in Saccharomyces cerevisiae

Journal of Theoretical Biology

Volumn 293, Issue , 2012, Pages 49-54

  Liu, Guoqing ^a,b   Liu, Jia ^a   Cui, Xiangjun ^a,b   Cai, Lu ^a,b  

^a INNER MONGOLIA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Inner Mongolia Key Laboratory of Biomass Energy Conversion   (China)

Author keywords

Increment of diversity; K mer frequencies; Quadratic discriminant analysis

Indexed keywords

ACCURACY ASSESSMENT; ALGORITHM; DISCRIMINANT ANALYSIS; GENOME; NUMERICAL MODEL; PREDICTION; YEAST;

ACCURACY; ALGORITHM; ARTICLE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DNA FLANKING REGION; GENE FREQUENCY; GENE MAPPING; GENE SEQUENCE; GENETIC RECOMBINATION; GENETIC VARIABILITY; INTERMETHOD COMPARISON; MACHINE LEARNING; MATHEMATICAL MODEL; NONHUMAN; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SACCHAROMYCES CEREVISIAE; SUPPORT VECTOR MACHINE; TRANSCRIPTION INITIATION; TRANSCRIPTION TERMINATION; VALIDATION STUDY;

BASE SEQUENCE; DISCRIMINANT ANALYSIS; GENETIC VARIATION; GENOME, FUNGAL; MEIOSIS; MODELS, GENETIC; RECOMBINATION, GENETIC; SACCHAROMYCES CEREVISIAE; TRANSCRIPTION, GENETIC;

SACCHAROMYCES CEREVISIAE;

EID: 80054694427     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2011.10.004     Document Type: Article

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