Statistics – Methodology
Scientist
Statistics
Methodology
Scientist
A Bayesian graphical modeling approach to microRNA regulatory network inference
A Dirichlet process mixture of hidden Markov models for protein structure prediction
Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes
Regularized Partial Least Squares with an Application to NMR Spectroscopy
Variable Selection for Nonparametric Gaussian Process Priors: Models and Computational Strategies
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