Presents the first closed-form normalized distributions on the flat torus with covariance structure via circula and latent models, then applies them to model joint torsion angles in proteins with SOTA likelihood and sparsity.
Mocapy++–a toolkit for inference and learning in dynamic bayesian networks.BMC bioinformatics, 11(1):1–6, 2010
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Circula-based multivariate distributions on the flat torus, with applications in structural biology
Presents the first closed-form normalized distributions on the flat torus with covariance structure via circula and latent models, then applies them to model joint torsion angles in proteins with SOTA likelihood and sparsity.