Computational Intelligence and Bioinformatics (CIB)

Dear Colleagues,

Over the past few years, there has been increasing interest in the development of computational tools and approaches that process biological, medical, and health data to improve humans’ knowledge by identifying hidden patterns, discovering novel treatments or repurpose drugs, and predicting possible biomolecular interactions or functions. In this context, classic computational approaches (such as data mining, machine learning, fuzzy logic, and soft computing) or deep-learning techniques have been proposed. Nevertheless, the tremendous amount of multi-modal data that is made available through high-throughput experiments poses many challenges, mainly due to the “three-V” characterizing Big Data (volume, variety, and velocity) and the need to develop effective data reduction and integration techniques. The purpose of this Topic is to collect high-quality papers presenting novel computational tools and approaches that can be exploited in the wide arena of bioinformatics for the acquisition, storage, and analysis of biological data and to study their suitability in different applicative contexts.

Dr. Marco Mesiti
Prof. Dr. Giorgio Valentini
Dr. Elena Casiraghi
Dr. Tiffany J. Callahan
Topic Editors