Bioinformatics and computational biology are major beneficiaries of the current innovations
in artificial intelligence and machine learning. While Bioinformatics applies principles of
computer science and technique to help understand the vast, diverse, and complex life
sciences data and thus make it more useful, in contrast, the Computational Biology applies
computational approaches to address theoretical and experimental questions in biology.
This Special Issue on Computational Intelligence and Machine Learning in Bioinformatics …

The treatment of huge amounts of data delivered by high-throughput bio-technologies
requires on one hand advanced data management procedures for an efficient storage and
retrieval of biological information [1], and on the other hand refined methods to extract and
model biological knowledge from the data [2]. Computational intelligence (CI) and machine
learning (ML) methods are widely applied to the extraction of biological knowledge from bio-
molecular data [3, 4], in order to obtain models to both represent biological knowledge and …