Connectionists: CfP - SS - "SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES FROM OMICS DATA" - CIBB 2019

[Angelo Ciaramella]

Apologize for multiple posting.

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Special Session @ CIBB 2019: Computational Intelligence methods for
Bioinformatics
and Biostatistics
4-6 September 2019, Bergamo, Italy
(http://dinamico2.unibg.it/cazzaniga/cibb2019/index.html)
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SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES FROM OMICS DATA

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 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 Soft Computing, Machine Learning and Data
Mining 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 anroteomics
- Evaluation of protein folding and/or protein-ligand interactions
(DNA, RNA and small molecules), also in the context of genetic variation
- Identification of potential gene regulatory elements (i.e., miRNAs, etc.)
- Analysis of common genetic variants (i.e., SNPs, HLA)
- Analysis of experimental data from next-generation sequencing
- Analysis of gene expression data
- Biomedical applications

Organizers:
- Angelo Ciaramella, University of Napoli Parthenope, Italy
- Giosuè Lo Bosco, University of Palermo, Italy
- Alberto Paccanaro, Royal Holloway University of London, United Kingdom
- Umberto Ferraro Petrillo, Università di Roma - La Sapienza, Italy
- Antonino Staiano, University of Napoli Parthenope, Italy
- Giorgio Valentini, Università degli Studi di Milano, Italy

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Important dates

Paper submission: 9 June 2019
Acceptance notification: 30 June 2019
Camera ready due: 14 July 2019
Conference: 4 - 6 September 2019

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Important Information

For submitting the contribute through Easy Chair the
authors must select "SOFT COMPUTING METHODS FOR CHARACTERIZING
DISEASES FROM OMICS DATA" session



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- Angelo Ciaramella, Ph.D
- Associate Professor in Computer Science
- DiST, Dipartimento di Scienze e Tecnologie
- Università degli Studi di Napoli  "Parthenope"
- Room 431, Isola C4, Centro Direzionale
- I-80143 Napoli, ITALY
- Tel.:  0815476674