Background: In accordance with the increasing amount of information concerning individual differences in drug response and molecular interaction, the role of in silico prediction ...
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
The longest common subsequence(LCS) problem is one of the classical and wellstudied problems in computer science. The computation of the LCS is a frequent task in DNA sequence ana...
Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...