What is Bayesian statistics? | Nature Biotechnology Skip to main content Thank you for visiting
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Biological and medical data have been growing exponentially over the past several years [1,
2]. In particular, proteomics has seen automation dramatically change the rate at which data …

Inference in Bayesian networks | Nature Biotechnology Skip to main content Thank you for
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Winner of the 2002 DeGroot Prize. Probabilistic expert systems are graphical networks that
support the modelling of uncertainty and decisions in large complex domains, while …

Background An important question in the analysis of biochemical data is that of identifying
subsets of molecular variables that may jointly influence a biological response. Statistical …

Bayesian statistical learning provides a coherent probabilistic framework for modelling
uncertainty in systems. This review describes the theoretical foundations underlying …

Motivation: There are several levels of uncertainty involved in the mathematical modelling of
biochemical systems. There often may be a degree of uncertainty about the values of kinetic …

Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of
rational reasoning and the fundamental principle of computing, it is restricted to problems …

Motivation: Cancer development is driven by the accumulation of advantageous mutations
and subsequent clonal expansion of cells harbouring these mutations, but the order in which …

This work provides descriptions, explanations and examples of the Bayesian approach to
statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in …