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Study Results from Shanghai University in the Area of Applied Bioinformatics Reported (A survey on evolutionary algorithm based hybrid intelligence...

July 29, 2014



Study Results from Shanghai University in the Area of Applied Bioinformatics Reported (A survey on evolutionary algorithm based hybrid intelligence in bioinformatics)

By a News Reporter-Staff News Editor at Life Science Weekly -- Investigators publish new report on Applied Bioinformatics. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "With the rapid advance in genomics, proteomics, metabolomics, and other types of omics technologies during the past decades, a tremendous amount of data related to molecular biology has been produced. It is becoming a big challenge for the bioinformatists to analyze and interpret these data with conventional intelligent techniques, for example, support vector machines."

Our news journalists obtained a quote from the research from Shanghai University, "Recently, the hybrid intelligent methods, which integrate several standard intelligent approaches, are becoming more and more popular due to their robustness and efficiency. Specifically, the hybrid intelligent approaches based on evolutionary algorithms (EAs) are widely used in various fields due to the efficiency and robustness of EAs. In this review, we give an introduction about the applications of hybrid intelligent methods, in particular those based on evolutionary algorithm, in bioinformatics."

According to the news editors, the research concluded: "In particular, we focus on their applications to three common problems that arise in bioinformatics, that is, feature selection, parameter estimation, and reconstruction of biological networks."

For more information on this research see: A survey on evolutionary algorithm based hybrid intelligence in bioinformatics. Biomed Research International, 2014;2014():362738 (see also Applied Bioinformatics).

The news correspondents report that additional information may be obtained from S. Li, Dept. of Mathematics, Shanghai University, Shanghai 200444, People's Republic of China. Additional authors for this research include L. Kang and X.M Zhao.

Keywords for this news article include: Shanghai, People's Republic of China, Asia, Algorithms, Applied Bioinformatics, Evolutionary Algorithm, Mathematics.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Life Science Weekly


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