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*SPECIAL SESSION ON Computational Intelligence methods in bioinformatics
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TO BE HELD AT 2020 IEEE Conference on Evolving and Adaptive Intelligent
Systems (EAIS 2020)
Bari, Italy -- May 27-29, 2020
https://sites.google.com/view/eais2020/conference/special-sessions/computational-intelligence-methods-in-bioinformatics
<https://sites.google.com/view/eais2020/conference/special-sessions/computational-intelligence-methods-in-bioinformatics>
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DEADLINE EXTENDED To February 8, 2020
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AIMS AND SCOPE
In modern biomedical research, high-throughput technologies, such as the
next-generation sequencing, produces huge data sets. High-throughput
data are collected in the broad context of genomics, epigenomics,
transcriptomics and proteomics. From these data, it is possible to
explain the pathogenesis or predict the predisposition and/or the
clinical outcome of several human diseases, among which psychiatric,
cardiovascular, obesity, aetiology of a number of diseases such as
cancer, schizophrenia, and Alzheimer, just to name a few. The key factor
to exploit such rapid growth of biological data is to develop strategies
that would allow the analysis at the rate at which it's gathered.
Moreover, in many real-life circumstances, a timely response or
prediction could be vital for saving lifes. In this context, the
identification of new strategies for processing and analyzing such kind
of data is becoming more and more necessary since their large amount of
data can sometimes represent a real obstacle to effectively identify the
most relevant patterns and to build comprehensive models capable of
explaining complex biological phenotypes. The aim of the special session
is to host original papers and reviews on recent research advances and
the state-of-the-art methods in the fields of Computational
Intelligence, Machine Learning Data Mining and Distributed Computing
methodologies concerning with the processing of omics data in order to
shed light about the relationship between genotype and disease-related
phenotype.
RELEVANT TOPICS WITHIN THIS CONTEXT INCLUDE, BUT ARE NOT LIMITED TO:
* Machine learning
* Sparse Coding
* Data Mining
* Fuzzy and Neuro-Fuzzy Systems
* Probabilistic and statistical modelling
* OMICs in the context of genomics, epigenomics, transcriptomics, proteomics
* Evaluation of protein folding and/or protein-ligand interactions
(where ligands are proteins, DNA, RNA and small molecules), also in the
context of genetic variation
* Identification of potential gene regulatory elements (i.e., binding
transcription factors, miRNAs, etc.)
* Analysis of common genetic variants (i.e., SNPs, HLA genotypes
microsatellites) Analysis of experimental data from next-generation
sequencing
* Analysis of gene expression data
* Biomedical applications
PAPER SUBMISSION GUIDELINES:
Papers should be submitted through EasyChair system
(https://easychair.org/conferences/?conf=ieeeeais2020) by selecting
"Computational Intelligence methods in Bioinformatics" in the Special
Sessions section. See conference web site (www.eais2020.di.uniba.it) for
detailed formatting instructions.
IMPORTANT DATES
Paper Submission Deadline: February 8, 2020
Decision Notification: March 6, 2020
Final Paper Submission: March 20, 2020
Authors Registration Deadline: March 27, 2020
ORGANISERS
Le Hoang Son, Vietnam National University.
Angelo Ciaramella, Università degli Studi di Napoli PARTHENOPE.
Giosuè Lo Bosco, Università degli Studi di Palermo.
Alessio Ferone, Università degli Studi di Napoli PARTHENOPE.
CONTACTS:
angelo.ciaramella@uniparthenope.it
giosue.lobosco@unipa.it
alessio.ferone@uniparthenope.it
--
Giosue' Lo Bosco, PhD
Dipartimento di Matematica e Informatica
Universita' degli Studi di Palermo - Italia
Phone: +39 (091) 23891075
e-mail: giosue.lobosco@unipa.it
http://math.unipa.it/~lobosco
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