Two-stage computational bio-network discovery approach for metabolites: Ovarian cancer as a case study

2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014

Volumn , Issue , 2014, Pages 97-100

  Akutekwe, Arinze ^a   Seker, Huseyin ^a  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMOLECULES; LEARNING ALGORITHMS; METABOLISM; METABOLITES; NUCLEIC ACIDS;

CLASSIFICATION PERFORMANCE; COMPUTATIONAL TECHNIQUE; DYNAMIC BAYESIAN NETWORKS; FEATURE SELECTION METHODS; PREDICTIVE ACCURACY; PREDICTIVE MODELS; SELECTION OPERATORS; TEMPORAL RELATIONSHIPS;

DISEASES;

EID: 84906860824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BHI.2014.6864313     Document Type: Conference Paper

References (17)

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