Connectionists: CfP: Special Session "Soft Computing Methods for Characterizing Diseases from Omics Data" @ CIBB2019

[Angelo Ciaramella]

Apologize for multiple posting.


Call for Papers
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Special Session: SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES  
FROM OMICS DATA

http://dinamico2.unibg.it/cazzaniga/cibb2019/specialsessions.html#Ciaramella

CIBB 2019: Computational Intelligence methods for Bioinformatics and  
Biostatistics (Bergamo, Italy, 4-6 September 2019)

http://dinamico2.unibg.it/cazzaniga/cibb2019/index.html
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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 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 (wher  
ligands are proteins, DNA, RNA and small molecules), also in the  
context of genetic variation
Identification of potential gene regulatory elements (i.e., binding  
oranscription factors, miRNAs, etc.)
Analysis of common genetic variants (i.e., SNPs, HLA genotypesicrosatellites)
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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- Angelo Ciaramella, Ph.D
- DiST, Dipartimento di Scienze e Tecnologie
- Università degli Studi di Napoli  "Parthenope"
- Room 431, Isola C4, Centro Direzionale
- I-80143 Napoli, ITALY
- Tel.:  0815476674