Algorithms for Bayesian network modeling of high dimensional biological data KU Leuven
clinical and biological information pose challenges in reliable
biomedical decision making. Considering all data pertaining to specific
cases becomes increasingly difficult when clinical data is enhanced by
high-dimensional information such as microarray data, proteomics data
and in the near future even full genome sequences of patients. Bayesian
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