We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...
Background: Protein conformation and protein/protein interaction can be elucidated by solution-phase Hydrogen/ Deuterium exchange (sHDX) coupled to high-resolution mass analysis o...
Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark...
Background: Density plot visualizations (also referred to as heat maps or color maps) are widely used in different fields including large-scale omics studies in biological science...
Richard Baran, Martin Robert, Makoto Suematsu, Tom...
In this paper, we present a new method for surface extraction from volume data which preserves sharp features, maintains consistent topology and generates surface adaptively witho...