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Scoring Bayesian networks of mixed variables

Mellon University , Pittsburgh, PA 15213 , USA 1 Joseph Ramsey In this paper we outline two novel scoring methods for learning Bayesian networks in the presence of both continuous and discrete variables

Translating a gene expression signature for multiple myeloma prognosis into a robust high-throughput assay for clinical use

Background Widespread adoption of genomic technologies in the management of heterogeneous indications, including Multiple Myeloma, has been hindered by concern over variation between published gene expression signatures, difficulty in physician interpretation and the challenge of obtaining sufficient genetic material from limited patient specimens. Methods Since 2006, the 70-gene...