100 citations · 207 across the 28 of their papers we have counts for
Showing 2014Show all
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stat.CO2014★ 41 cited
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package
Marco Scutari
It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: its computational complexity is super-exponential in the…
stat.ME2014
Multiple Quantitative Trait Analysis Using Bayesian Networks
Marco Scutari, Phil Howell, David J. Balding +1
Models for genome-wide prediction and association studies usually target a single phenotypic trait. However, in animal and plant genetics it is common to record information on mult…
stat.AP2014
Personalised Medicine: Taking a New Look at the Patient
Marco Scutari
Personalised medicine strives to identify the right treatment for the right patient at the right time, integrating different types of biological and environmental information. Such…