Data augmentation is required for the implementation of many Markov chain Monte Carlo (MCMC) algorithms. The inclusion of augmented data can often lead to conditional distributions from well-known ...

Graph algorithms constitute a fundamental area of computational research that focuses on the analysis and manipulation of graph structures, which represent systems of interconnected entities. In ...

On Tuesday the 3rd of October 2023, M.Sc. Manuel Cáceres defends his PhD thesis on Parameterized and Safe & Complete Graph Algorithms for Bioinformatics. The thesis is related to research done in the ...

Finding a Minimum Path Cover of a DAG is a fundamental algorithmic problem, with applications in various fields, including Bioinformatics. While a classical solution leads to a quadratic-time ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...