BioMed Research International

Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics


Status
Published

1University of Salamanca, Salamanca, Spain

2State University of New York, New York, USA


Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics

Description

The increased volume of existing information on biological processes and the use of large databases have significantly increased the accessibility of datasets to the scientific community. This has enabled performing an analysis to facilitate the extraction of relevant information or modeling and optimizing tasks in different processes. Parallel to the increasing volumes of information is the emergence of new or adapted distributed computing models such as grid computing and cloud computing. These management systems along with new techniques of artificial intelligence, or more specifically knowledge discovery, are making it possible to perform an analysis of the information in a more efficient manner and are enabling the creation of adaptive systems with learning ability.

We invite researchers to submit original papers on the treatment of information of biological processes from the point of view of distributed artificial intelligence techniques. The research should present novel models developed for clustering, classification, knowledge extraction, prediction, and so forth, in different fields of bioinformatics, biomedical big data, and distributed artificial intelligence.

Potential topics include, but are not limited to:

  • Knowledge discovery and data mining techniques
  • Rough, fuzzy, and hybrid techniques
  • Artificial neural networks
  • Case-based reasoning systems
  • Cloud computing
  • Multiagent systems
  • Human computing
  • Nature-inspired algorithms

Biological areas:

  • Molecular evolution
  • DNA twisting and folding
  • High-throughput data analysis
  • Phylogenetics and phylogenomics
  • Gene expression data analysis
  • Identification of metabolic pathways
  • Biomarker identification
  • Visualization of biological systems and networks
  • In silico optimization of biological systems
  • Metabolomics/metabolic fingerprints
  • Health-care applications
  • Phylogenetic classification

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 846785
  • - Editorial

Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics

Juan M. Corchado | Isabelle Bichindaritz | Juan F. De Paz
  • Special Issue
  • - Volume 2015
  • - Article ID 878291
  • - Research Article

A Linear-RBF Multikernel SVM to Classify Big Text Corpora

R. Romero | E. L. Iglesias | L. Borrajo
  • Special Issue
  • - Volume 2015
  • - Article ID 124537
  • - Research Article

Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis

Yee Wen Choon | Mohd Saberi Mohamad | ... | Juan Manuel Corchado
  • Special Issue
  • - Volume 2015
  • - Article ID 292543
  • - Research Article

Analysis of Environmental Stress Factors Using an Artificial Growth System and Plant Fitness Optimization

Meonghun Lee | Hyun Yoe
  • Special Issue
  • - Volume 2015
  • - Article ID 530828
  • - Research Article

Using the eServices Platform for Detecting Behavior Patterns Deviation in the Elderly Assisted Living: A Case Study

Isabel Marcelino | David Lopes | ... | António Pereira
  • Special Issue
  • - Volume 2015
  • - Article ID 194624
  • - Research Article

aCGH-MAS: Analysis of aCGH by means of Multiagent System

Juan F. De Paz | Rocío Benito | ... | María Abáigar
  • Special Issue
  • - Volume 2015
  • - Article ID 192454
  • - Research Article

A Distributed Multiagent System Architecture for Body Area Networks Applied to Healthcare Monitoring

Filipe Felisberto | Rosalía Laza | ... | António Pereira
  • Special Issue
  • - Volume 2015
  • - Article ID 769471
  • - Research Article

Agent-Based Spatiotemporal Simulation of Biomolecular Systems within the Open Source MASON Framework

Gael Pérez-Rodríguez | Martín Pérez-Pérez | ... | Anália Lourenço
  • Special Issue
  • - Volume 2015
  • - Article ID 747156
  • - Research Article

RecRWR: A Recursive Random Walk Method for Improved Identification of Diseases

Joel Perdiz Arrais | José Luís Oliveira
  • Special Issue
  • - Volume 2015
  • - Article ID 168682
  • - Research Article

Bladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis

Enrique Redondo-Gonzalez | Leandro Nunes de Castro | ... | Juan Manuel Corchado
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
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