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Applications of soft computional approaches in bioinformatics
Published in Institute of Integrative Omics and Applied Biotechnology
2015
Volume: 6
   
Issue: 4
Pages: 1 - 2
Abstract
In today’s world, the use of soft computational approaches has been increased to a variety of bioinformatics application. Bioinformatics approaches – from soft computational methods such as fuzzy system, neural networks, evolutionary algorithms, statistical model algorithms are currently attractive topic in wide variety of bioinformatics research areas. Usually, biological systems and its objects have intrinsically fuzzy as their features and behaviors consist of randomness or uncertainty in nature. Subsequently, only limited computational intelligence approaches are available to handle bio-informatics problems. In order to address the research gap, this special issue identifies the novel work that focuses on the recent advances in bioinformatics, bio-inspired methods, and contribution of computational intelligence approaches to solve biological problems. In the following section, we start by providing the readers of this special issue a brief overview of these research papers. © 2015, Institute of Integrative Omics and Applied Biotechnology. All rights reserved.
About the journal
JournalIIOAB Journal
PublisherInstitute of Integrative Omics and Applied Biotechnology
ISSN09763104