In addition to single-nucleotide variations and small insertions-deletions (indels), larger-sized structural variations (for example, insertions, deletions, inversions, segmental duplications and copy ...
Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...
Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...
A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...
Since its molecular structure was deduced in the 1950s, DNA has been hailed by many biologists as the secret of life. They’ve read and studied the information stored in the DNA found in the cells of ...
This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...
Abstract: Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic applications, ...
The person who should have been best able to explain how we got here was the great German philosopher Jürgen Habermas, who illuminated how a feisty, principled public sphere is integral to democracy.
Spread the love“`html When it comes to health and wellness, the gut often plays a starring role. More than just a digestive organ, our gut is home to trillions of microorganisms that influence ...
Spread the love“`html Shoulder pain is one of those nagging issues that can truly derail your life. Whether it’s a dull ache ...
My research focuses on the complex adaptive behavior that emerges in social systems. The goal of this work is to understand the principles by which aggregate patterns emerge from the simple ...