Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
Algorithmsbasedonprobability theorycanaddressissues of uncertainty directly throughtheir representational frameworkandtheir theoryfor data combination.In this paper, wediscuss the...
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Abstract. In the context of protein engineering, we consider the problem of computing an mRNA sequence of maximal codon-wise similarity to a given mRNA (and consequently, to a give...
Guillaume Blin, Guillaume Fertin, Danny Hermelin, ...
This work presents the architecture of PROSIDIS, a special purpose processor designed to search for the occurrence of substrings similar to a given ‘template string’ within a ...
Alessandro Marongiu, Paolo Palazzari, Vittorio Ros...