Application of knowledge information processing methods to biochemical engineering, biomedical and bioinformatics fields.

Taizo Hanai, Hiroyuki Honda

研究成果: ジャーナルへの寄稿評論記事

8 引用 (Scopus)

抄録

In biochemical and biomedical engineering fields there are a variety of phenomena with many complex chemical reactions, in which many genes and proteins affect transcription or enzyme activity of others. It is difficult to analyze and estimate many of these phenomena using conventional mathematical models. Recently some knowledge information processing methods, such as the artificial neural network (ANN), fuzzy reasoning, fuzzy neural network (FNN), fuzzy adaptive resonance theory (fuzzy ART) and the genetics algorithm (GA), were developed in the computer science field and have been applied to analysis in a variety of research fields. In this chapter, these methods will be briefly reviewed. Next, the application of these methods in the biochemical field will be introduced, instancing two examples in actual industrial processes. In addition, the application in the biomedical and bioinformatics field as another attractive field will be reviewed. Two examples are our research such as the prediction of prognosis for cancer patients from DNA microarray data using FNN and gene clustering for DNA microarray data using fuzzy ART.

元の言語英語
ページ(範囲)51-73
ページ数23
ジャーナルAdvances in biochemical engineering/biotechnology
91
出版物ステータス出版済み - 1 1 2004

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Biochemical engineering
Biomedical Engineering
Fuzzy neural networks
Bioinformatics
Microarrays
Computational Biology
Automatic Data Processing
DNA
Genes
Oligonucleotide Array Sequence Analysis
Biomedical engineering
Enzyme activity
Transcription
Computer science
Chemical reactions
Gene Regulatory Networks
Genetic algorithms
Mathematical models
Neural networks
Proteins

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

これを引用

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abstract = "In biochemical and biomedical engineering fields there are a variety of phenomena with many complex chemical reactions, in which many genes and proteins affect transcription or enzyme activity of others. It is difficult to analyze and estimate many of these phenomena using conventional mathematical models. Recently some knowledge information processing methods, such as the artificial neural network (ANN), fuzzy reasoning, fuzzy neural network (FNN), fuzzy adaptive resonance theory (fuzzy ART) and the genetics algorithm (GA), were developed in the computer science field and have been applied to analysis in a variety of research fields. In this chapter, these methods will be briefly reviewed. Next, the application of these methods in the biochemical field will be introduced, instancing two examples in actual industrial processes. In addition, the application in the biomedical and bioinformatics field as another attractive field will be reviewed. Two examples are our research such as the prediction of prognosis for cancer patients from DNA microarray data using FNN and gene clustering for DNA microarray data using fuzzy ART.",
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