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${\Omega}$/PC 그래픽 보오드를 이용한 집적회로 설계용 레이아웃 에디터의 개발
정갑중,장기동,정호선,이우일,Jeong, Gab-Jung,Jang, Ki-Dong,Chung, Ho-Sun,Lee, Wu-Il 대한전자공학회 1989 전자공학회논문지 Vol. No.
본 논문에서는 IC Mask Layout을 위한 2차원 그래픽스 에디터 KUIC_LED(kyungpook national university intelligent CAD_layout editor)를 개발하였다. KUIC_LED는 ${\Omega}$/PC/AT상에서 동작하고 Layout에 필요한 60여가지의 다양한 기능들을 제공한다. 본 시스템은 C Language와 Assembly Language로 작성 되었다. This paper describes the KUI-LED (Kyungpook national University Intelligent CAD-Layout EDitor) which is a 2-dimensional graphics editor for IC mask layout. This system runs of IBM PC/AT with the ${\Omega}$/PC graphics board. It offers a sufficient set of facilities to do most kinds of layout. KUIC-LED is written in 'C' and 'Assembly' language.
cDNA microarray를 이용한 위선암에서의 유전자 발현에 관한 연구
이종훈 ( Lee Jong Hun ),최석렬 ( Choe Seog Lyeol ),황태호 ( Hwang Tae Ho ),김민찬 ( Kim Min Chan ),정갑중 ( Jeong Gab Jung ),노미숙 ( No Mi Sug ),정진숙 ( Jeong Jin Sug ) 대한소화기학회 2003 대한소화기학회지 Vol.42 No.6
Background/Aims: cDNA microarray provides a powerful alternative with an unprecedented view scope in monitoring gene expression levels and leads to discoveries of regulatory pathways involved in complicated biological processes. Our aim was to explore the different gene expression patterns in early and advanced gastric cancer. Methods: By using a cDNA microarray representing 4,608 cDNA clusters, we studied the expression profiling in 10 paired gastric adenocarcinoma samples and the adjacent noncancerous gastric tissues. The alterations in gene expression levels were confirmed by Northern blot and reverse-transcription (RT) PCR. Results: Genes that were differently expressed in cancer and noncancerous tissues were identified. Forty-four and 92 (26 and 43 of them were known, respectively) genes or cDNA were up- and down-regulated, respectively, in more than 80% of gastric adenocarcinoma samples. The semi-quantitative RT-PCR results were consistent with the microarray findings. To distinguish between early and advanced gastric cancers, we used a supervised learning classification approach. When we used 16 and 20 genes as predictors, the prediction was all yielded statistically significant. Moreover, when we used 9 genes, we could predict with the highest accuracy. Conclusions: These results may provide not only a new molecular basis for understanding biological properties of gastric adenocarcinoma, but also useful resources for future development of therapeutic targets and diagnostic markers for gastric adenocarcinoma. (Korean J Gastroenterol 2003;42:484-495)