The Scientific World Journal

Emerging Trends in Soft Computing Models in Bioinformatics and Biomedicine


Publishing date
14 Feb 2014
Status
Published
Submission deadline
06 Dec 2013

1School of Computer Science and Technology, Nanjing Normal University, Jiangsu, China

2Department of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, Iran

3Ambedkar Institute of Advanced Communication Technologies 8 Research, Govt. Of NCT of Delhi, Geeta Colony, New Delhi, India


Emerging Trends in Soft Computing Models in Bioinformatics and Biomedicine

Description

Soft computing (SC) obtains inexact solutions to computationally hard tasks such as the NP-complete problems, for which there is no known algorithm that can obtain an exact solution in polynomial time.

Soft computing differs from conventional hard computing (HC) in that SC is tolerant of imprecision, uncertainty, partial truth, and approximation.

Recently, SC has attracted close attention of researchers and has also been applied successfully to solve problems in bioinformatics and biomedicine. Nevertheless, the amount of information from biological experiments and the applications involving large-scale high-throughput technologies is rapidly increasing nowadays. Thus, the ability of being scalable across a range of large-scale problems becomes an essential requirement for modern soft computing approaches.

The scope of this special session covers the development of computational models and algorithms for bioinformatics and biomedicine. Potential topics include, but are not limited to:

  • Microarray and gene expression analysis
  • Gene regulatory and ontology networks
  • Protein and RNA structure prediction
  • Analysis of large biological datasets
  • Data integration and fusion
  • Classification and clustering
  • Feature selection
  • Signal processing
  • Radiology and imaging
  • Text mining in molecular biology
  • Gene regulation and transcriptomics
  • Molecular docking and drug design
  • Metabolic pathway analysis
  • Image analysis in bioinformatics
  • Computational proteomics

Besides, contributions containing new insights and findings in this field are welcome. Approaches to address the above-mentioned topics should involve soft computing methods like neural networks, SVM, fuzzy logics, evolutionary computation, swarm intelligence, chaos theory, and perceptron.

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the Journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/computer.science/etso/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 683029
  • - Editorial

Emerging Trends in Soft Computing Models in Bioinformatics and Biomedicine

Yudong Zhang | Saeed Balochian | Vishal Bhatnagar
  • Special Issue
  • - Volume 2014
  • - Article ID 509429
  • - Review Article

Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction

Alberto Gonzalez-Sanchez | Juan Frausto-Solis | Waldo Ojeda-Bustamante
  • Special Issue
  • - Volume 2014
  • - Article ID 672630
  • - Research Article

Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition

Sajid Ali Khan | Ayyaz Hussain | ... | Sheeraz Akram
  • Special Issue
  • - Volume 2014
  • - Article ID 810368
  • - Review Article

Intelligent Screening Systems for Cervical Cancer

Yessi Jusman | Siew Cheok Ng | Noor Azuan Abu Osman
  • Special Issue
  • - Volume 2014
  • - Article ID 624371
  • - Research Article

Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure

David Gutiérrez-Avilés | Cristina Rubio-Escudero
  • Special Issue
  • - Volume 2014
  • - Article ID 350270
  • - Research Article

EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials

Alejandro Gonzalez | Isao Nambu | ... | Yasuhiro Wada
  • Special Issue
  • - Volume 2014
  • - Article ID 964870
  • - Research Article

A Fusion Method of Gabor Wavelet Transform and Unsupervised Clustering Algorithms for Tissue Edge Detection

Burhan Ergen
  • Special Issue
  • - Volume 2014
  • - Article ID 536434
  • - Research Article

New Fuzzy Support Vector Machine for the Class Imbalance Problem in Medical Datasets Classification

Xiaoqing Gu | Tongguang Ni | Hongyuan Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 593503
  • - Research Article

Evolutionary Approach for Relative Gene Expression Algorithms

Marcin Czajkowski | Marek Kretowski
  • Special Issue
  • - Volume 2014
  • - Article ID 364352
  • - Research Article

Chaotic Multiquenching Annealing Applied to the Protein Folding Problem

Juan Frausto-Solis | Ernesto Liñan-García | ... | Juan Paulo Sánchez-Hernández
The Scientific World Journal
 Journal metrics
Acceptance rate24%
Submission to final decision68 days
Acceptance to publication29 days
CiteScore2.900
Impact Factor-
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