Prediction of microRNA-regulated protein interaction pathways in Arabidopsis using machine learning algorithms

Computers in Biology and Medicine

Volumn 43, Issue 11, 2013, Pages 1645-1652

  Kurubanjerdjit, Nilubon ^a,b   Huang, Chien Hung ^c   Lee, Yu liang ^a   Tsai, Jeffrey J P ^a   Ng, Ka Lok ^a,d  

^a ASIA UNIVERSITY   (Taiwan)

^b MAE FAH LUANG UNIVERSITY   (Thailand)

^c NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^d CHINA MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Arabidopsis thaliana; Enrichment analysis; Jaccard coefficient; Machine learning algorithm; MicroRNA target prediction; Protein protein interaction

Indexed keywords

ARABIDOPSIS THALIANA; BIOLOGICAL PHENOMENA; JACCARD COEFFICIENTS; LEARNING CLASSIFIERS; MICRORNA TARGET PREDICTIONS; PLANT PATHOGEN INTERACTION; PLANT RESISTANCE GENES; PROTEIN-PROTEIN INTERACTIONS;

DECISION TREES; FORECASTING; GENES; LEARNING ALGORITHMS; LEARNING SYSTEMS; PLANTS (BOTANY); PROTEINS;

RNA;

MICRORNA; TRANSCRIPTION FACTOR;

ALGORITHM; ARABIDOPSIS THALIANA; ARTICLE; DATA MINING; GENE INTERACTION; GENE TARGETING; PLANT PATHOGEN INTERACTION; PREDICTION; PRIORITY JOURNAL; PROTEIN PROTEIN INTERACTION; RANDOM FOREST; RNA HYBRIDIZATION;

ARABIDOPSIS THALIANA; ENRICHMENT ANALYSIS; JACCARD COEFFICIENT; MACHINE LEARNING ALGORITHM; MICRORNA TARGET PREDICTION; PROTEIN-PROTEIN INTERACTION;

ARABIDOPSIS; ARABIDOPSIS PROTEINS; COMPUTATIONAL BIOLOGY; DECISION TREES; MICRORNAS; MODELS, STATISTICAL; PROTEIN INTERACTION MAPS; SUPPORT VECTOR MACHINES;

EID: 84883764148     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.08.010     Document Type: Article

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