Fellow Colleagues, following the experience of the previous edition, we propose our Special Session on Computational Intelligence for Bioinformatics and Computational Biology also at IEEE WCCI 2020 (Glasgow, UK).

Bioinformatics and Computational Biology deal with a wide range of problems and applications which, in recent years, have been successfully solved by means of Computational Intelligence and Machine Learning techniques. Moreover, due to technological progress, huge amounts of data concerning biological organisms are gathered and collected (e.g. genes transcript, protein structures and the like), thereby demanding the use of parallel and distributed computing for facing Big Datasets and/or high-throughput application requirements. Further, in such fields, data usually encodes complex information, which is natively represented by structured records, such as sequences, graphs and images, most of which lie in so-called “non-metric spaces”, i.e. input spaces for which a meaningful (dis)similarity measure might not be metric, making the problem more challenging since ad-hoc (dis)similarity measures or embedding functions need to be defined.

This Special Session aims at collecting the latest research in Computational Intelligence applications for Bioinformatics and Computational Biology, with emphasis on parallel/distributed computing and non-metric spaces analysis, by means of different (or hybridization of) Computational Intelligence techniques, from evolutionary meta-heuristics to neural computation, from pattern recognition to fuzzy systems.

Topics of interest include (but are not limited to):

• Network and Systems Biology • Gene expression, gene regulatory networks • Sequence analysis, alignment and comparison • Biological complex systems modelling • Predictive medicine and medical image analysis • Network medicine • Large-scale data mining and pattern recognition • Distributed and parallel computing systems for machine learning and data mining • Network generative models • Graph kernels and string kernels in biology • Exact/inexact motifs and pattern matching • Granular computing approaches for non-metric space analysis • Protein folding/function prediction • Analysis of metabolic pathways • RNA/protein structure prediction

More info here: https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home https://sites.google.com/a/uniroma1.it/wcci2020-ci4bcb/home

Needless to say, you are all invited to join.

King regards

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Alessio Martino / PhD Research Fellow alessio.martino@uniroma1.it mailto:alessio.martino@uniroma1.it Department of Information Engineering, Electronics and Telecommunications (DIET) - University of Rome "La Sapienza" Via Eudossiana 18 00184 Rome, Italy https://web.uniroma1.it/dip_diet/en https://web.uniroma1.it/dip_diet/en   https://htmlsig.com/t/000001C4HZQK   https://htmlsig.com/t/000001C6NBHT This email and its attachments may be confidential and are intended solely for the use of the intended recipient. If you are not the intended recipient of this email and its attachments, you must take no action based upon them, nor must you copy or show them to anyone. Please contact the sender if you believe you have received this email in error. Any views or opinions expressed are solely those of the author and do not necessarily represent those of the University.