• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.838-841
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• 2005

DNA Chip is able to show DNA-Data that includes diseases of sample to User by using complementary characters of DNA. So this paper studied Neural Network algorithm for Image data processing of DNA-chip. DNA chip outputs image data of colors and intensities of lights when some sample DNA is putted on DNA-chip, and we can classify pattern of these image data on user pc environment through artificial neural network and some of image processing algorithms. Ultimate aim is developing of pattern classifying algorithm, simulating this algorithm and so getting information of one's diseases through applying this algorithm. Namely, this paper study artificial neural network algorithm for classifying pattern of image data that is obtained from DNA-chip. And, by using histogram, gradient edge, ANN and learning algorithm, we can analyze and classifying pattern of this DNA-chip image data. so we are able to monitor, and simulating this algorithm.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.251-254
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• 2004

Web-Bioconductor System은 유전자 분석에 대한 통계적 모듈과 그래픽 환경을 제공하는 R언어와 DNA chip 데이터의 분석을 수행하는 Bioconductor 패키지를 이용하여 웹으로 DNA chip 데이터를 분석할 수 있도록 설계한 시스템이다. 본 시스템은 DNA chip 데이터의 분석을 위해 사용자 계정 모듈, 데이터 입력 모듈, 전 처리 모듈, 유전자 차등 발현 분석 모듈, 결과 출력 모듈로 구성되어 있으며, 분석된 결과물은 HTML, 이미지, XLS 파일 형태로 제공된다. 웹을 이용하여 DNA chip 분석을 수행함으로써 인터넷이 가능한 곳이면 시간과 장소의 구분이 없이 DNA chip 데이터 분석이 가능하며, 인터넷으로 DNA chip 데이터 분석 자료를 공유할 수 있음으로 연구자들의 상호 의견 교환을 바탕으로 효율적인 분석이 가능할 것이다. 또한 기존의 R언어와 Bioconductor가 전산 지식이 부족한 사람들에게는 접근하기 어려운 점을 웹 인터페이스로 간단하게 구현함으로써 DNA chip 데이터 분석에 있어 용이성과 효율성을 중대하고 있다.

• KSBB Journal
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• v.16 no.6
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• pp.538-546
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• 2001

An integrated data analysis program for DNA chip containing normalization, FDM analysis, various kinds of clustering methods, PCA, and SVD was applied to analyze combined yeast cell cycle data. This paper includes both comparisons of some clustering algorithms such as K-means, SOM and furry c-means and their results. For further analysis, clustering results from the integrated analysis program was used for function assignments to each cluster and for motif analysis. These results show an integrated analysis view on DNA chip data.

• Korean Journal of Microbiology
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• v.38 no.3
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• pp.186-191
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• 2002

The usefulness of oligonucleotide DNA chip was evaluated for detection and primary level identification of major waterborne viruses in environmental samples. The enteric waterborne viruses included enterovirus, adenovirus, and rotavirus. Total intracellular RNA of 10 BGM cell plates showing virus-specific cytopathic effects was extracted at the third day after inoculation. The intracellular RNA was then subjected to either enterovirus-specific RT-PCR followed by sequencing analysis, or the DNA chip. Seven out of 10 positive samples in cell culture were positive but the other three sample were turned out to be negative by both RT-PCR and DNA chip analyses. Nucleotide sequencing results and the DNA chip hybridization results of the RT-PCR product were in complete agreement in the identification of the 7 positive samples as enteroviruses. Using the DNA chip, it took only 3∼4 hr to complete detection and primary level identification of target viruses and additional procedures such as gel electrophoresis or nucleotide sequencing were not necessary. We believe that the DNA chip system can be employed as a highly effective and new detection methodology for environmental viruses.

• KSBB Journal
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• v.16 no.4
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• pp.381-388
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• 2001

A program for integrated gene expression profile analysis such as hierarchical clustering, K-means, fuzzy c-means, self-organizing map(SOM), principal component analysis(PCA), and singular value decomposition(SVD) was made for DNA chip data anlysis by using Matlab. It also contained the normalization method of gene expression input data. The integrated data anlysis program could be effectively used in DNA chip data analysis and help researchers to get more comprehensive analysis view on gene expression data of their own.

• 한국생물공학회:학술대회논문집
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• 2000.11a
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• pp.119-122
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• 2000

Biological science is being revolutionized by the availability of much sequence information from many genome project With the advanced technology at hand, main trend in biological research is rapidly changing from a structural DNA analysis to understanding cellular function of the DNA sequences. Combined with mechanics, computer, bioinformatics and other advanced technologies, DNA chip technology provides numerous applications because of its robustness, accuracy, and automation. DNA chip is expected to become an indispensable tool in fields of biology, biotechnology, drug discovery, and other application areas. DNA chip can be used for mutation and polymorphism detection, gene expression monitoring and phenotypic analysis as well. If DNA chip is used for the development of pharmaceutical products, it can considerably reduce the cost and time for the entire process of drug discovery and development, and can also contribute in developing personal drugs.

• Genomics & Informatics
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• v.9 no.2
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• pp.89-91
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• 2011

DNA chips are becoming increasingly popular as a convenient way to perform vast amounts of experiments related to genes on a single chip. And the importance of analyzing the data that is provided by such DNA chips is becoming significant. A very important analysis on DNA chip data would be clustering genes to identify gene groups which have similar properties such as cancer. Clustering data for DNA chips usually deal with a large search space and has a very fuzzy characteristic. The Particle Swarm Optimization algorithm which was recently proposed is a very good candidate to solve such problems. In this paper, we propose a clustering mechanism that is based on the Particle Swarm Optimization algorithm. Our experiments show that the PSO-based clustering algorithm developed is efficient in terms of execution time for clustering DNA chip data, and thus be used to extract valuable information such as cancer related genes from DNA chip data with high cluster accuracy and in a timely manner.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.410-411
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• 2006

High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on. the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.4
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• pp.410-414
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• 2004

High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

• The Journal of Korean Medicine
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• v.25 no.1
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• pp.72-84
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• 2004

Objectives : he purpose of this study was to examine the genetic variations and changes of gene expression in the human constitutions. Methods : To analysis variations of individual gene expression, we had selected three groups of volunteers. In each group have a typical constitutional characteristics. By this rime we are analyzed their gene expression patterns by using DNA chip. Results : we can acquire a new information of standard for human constitutions. 1. The 21 genes under express and 3 genes over express in So-Yang constitution 2. The 18 genes under express and 18 genes over express in So-Eum constitution 3. The 16 genes under express and 2 genes over express in Tae-Eum constitution Conclusions : Constitution, QSCCII, Character, Genome, DNA chip.