When building genetic maps, it is necessary to choose from several marker ordering algorithms and criteria, and the choice is not always simple. In this study, we evaluate the efficiency of ...

Called multiplicative weight update algorithm (MWUA), it works by maximizing the trade-off between going all-in on a successful genetic trait and hedging its bets by minimizing its commitment to any ...

In the diverse world of Artificial Intelligence (AI), Genetic Algorithms (GAs) are a search heuristic that are inspired by Charles Darwin's theory of natural evolution. This evolutionary algorithm ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...

In this paper, the set covering problem (SCP) is considered. Several algorithms have been suggested in the literature for solving it. We propose a new algorithm for solving the SCP which is based on ...

The considered optimization problem is NP-hard, that is why we proposed a two-level based genetic algorithm in order to solve it. The computational results reported on a set of existing benchmark ...

moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

By analyzing thousands of genetic risk variants, a new algorithm may be able to predict your risk of developing chronic kidney disease decades before onset.