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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                 <https://htmlsig.com/t/000001C17PBN>           

Alessio Martino / PhD Research Fellow 
[email protected] <mailto:[email protected]>
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>
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