Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...
Refactorings are transformations that change the structure of a program, while preserving the behavior. The topic has attracted a lot of attention recently, since it is a promising...
A promising approach to compare two graph clusterings is based on using measurements for calculating the distance between them. Existing measures either use the structure of cluste...
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
This paper performs a comprehensive investigation of dynamic selection for long atomic traces. It introduces a classification of trace selection methods and discusses existing and...