Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Phylogenomic analysis addresses the limitations of function prediction based on annotation transfer, and has been shown to enable the highest accuracy in prediction of protein mol...
Jake Gunn Glanville, Dan Kirshner, Nandini Krishna...
Despite the computing power of emerging technologies, predicting long RNA secondary structures with thermodynamics-based methods is still infeasible, especially if the structures ...
Michela Taufer, Thamar Solorio, Abel Licon, David ...
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...