PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12398-12408

  Tzanis, George ^a   Kavakiotis, Ioannis ^a   Vlahavas, Ioannis ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Bioinformatics; Classification; Data mining; Emerging pattern; Machine learning; Polyadenylation

Indexed keywords

ARABIDOPSIS THALIANA; BIOLOGICAL INSIGHT; CANCER RESEARCH; CLASSIFICATION; DATA MINING METHODS; DISCRIMINATING POWER; DISTANCE-BASED; EMERGING PATTERNS; MACHINE LEARNING; MAIN COMPONENT; MODULAR SYSTEM; PARAMETERIZED; POLYADENYLATION; PREDICTIVE ANALYSIS; SCORING METHODS; SYSTEMATIC STUDY; TWO-COMPONENT; UNDERSTANDABILITY;

BIOINFORMATICS; DATA MINING;

FORECASTING;

EID: 79957972503     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.019     Document Type: Article

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