Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks

Bioinformatics

Volumn 22, Issue 14, 2006, Pages

  Gevaert, Olivier ^a   De Smet, Frank ^a,b   Timmerman, Dirk ^c   Moreau, Yves ^a   De Moor, Bart ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b National Alliance of Christian Mutualities   (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA;

ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BREAST CANCER; CONFERENCE PAPER; DNA MICROARRAY; GENE EXPRESSION; HUMAN; LEARNING; METHODOLOGY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS; SCORING SYSTEM; STATISTICAL MODEL;

EID: 33747891871     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl230     Document Type: Conference Paper

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