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.
| Original language | English |
|---|---|
| Pages (from-to) | 51-73 |
| Number of pages | 23 |
| Journal | Advances in biochemical engineering/biotechnology |
| Volume | 91 |
| Publication status | Published - Jan 1 2004 |
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All Science Journal Classification (ASJC) codes
- Biotechnology
- Bioengineering
- Applied Microbiology and Biotechnology
Cite this
Application of knowledge information processing methods to biochemical engineering, biomedical and bioinformatics fields. / Hanai, Taizo; Honda, Hiroyuki.
In: Advances in biochemical engineering/biotechnology, Vol. 91, 01.01.2004, p. 51-73.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - Application of knowledge information processing methods to biochemical engineering, biomedical and bioinformatics fields.
AU - Hanai, Taizo
AU - Honda, Hiroyuki
PY - 2004/1/1
Y1 - 2004/1/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=16544373432&partnerID=8YFLogxK
M3 - Review article
C2 - 15453192
AN - SCOPUS:16544373432
VL - 91
SP - 51
EP - 73
JO - Advances in Biochemical Engineering/Biotechnology
JF - Advances in Biochemical Engineering/Biotechnology
SN - 0724-6145
ER -