The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Biology is now an information-intensive science and various research areas, like molecular biology, evolutionary biology or environmental biology, heavily depend on the availabilit...
Nicolas Pasquier, Claude Pasquier, Laurent Brisson...
Abstract. RNA shapes, introduced by Giegerich et al. (17), provide a useful classification of the branching complexity for RNA secondary structures. In this paper, we derive an exa...
Human big conductance Ca2+ - and voltage-gated K+ channels (hBK) are putative drug targets for cardiovascular, respiratory and urological diseases. Here we have used molecular sim...
Agata Kranjc, Claudio Anselmi, Paolo Carloni, Fran...
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...