• Journal of Korean Library and Information Science Society
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• v.33 no.3
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• pp.359-392
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• 2002

This study attempts to bibliographic analysis of Sam-Ryak(三略) which is contained one of Mu-Kyung Chil Seo(武經七書). There were many Print and Publication of Sam-Ryak(三略) in Cho-sun(朝鮮) Dynasty. This study collected related records seen at historical materials and systemize each book-edtion. Also an introduction of new Korean-translation Version(諺解本) of Sam-Ryak(三略) printed in 1711 is considered to be a great help in the study of Korean Language especially in the late period of Cho-sun(朝鮮) Dynasty.

• Journal of Korean Library and Information Science Society
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• v.40 no.2
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• pp.111-138
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• 2009

The Joint Steering Committee represented final draft of RDA that can be replaced for AACR3 on November third in 2008. RDA is aiming at standard of international cataloging rules fo the purpose of providing the bibliographic description and the access point of all media, and when it will be realized, KCR4 4th edtion have to revised to following up it. This study analyzes both cataloging rules of RDA and KCR4 in each area of KCR 4th edition. As a result, it present the points to take into consideration as revising KCR4.

• Genomics & Informatics
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• v.1 no.2
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• pp.94-100
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• 2003

Motivation: Many have observed a nonlinear relationship between the signal intensity and the transcript abundance in microarray data. The first step in analyzing the data is to normalize it properly, and this should include a correction for the nonlinearity. The commonly used linear normalization schemes do not address this problem. Results: Nonlinearity is present in both cDNA and oligonucleotide arrays, but we concentrate on the latter in this paper. Across a set of chips, we identify those genes whose within-chip ranks are relatively constant compared to other genes of similar intensity. For each gene, we compute the sum of the squares of the differences in its within-chip ranks between every pair of chips as our statistic and we select a small fraction of the genes with the minimal changes in ranks at each intensity level. These genes are most likely to be non-differentially expressed and are subsequently used in the normalization procedure. This method is a generalization of the rank-invariant normalization (Li and Wong, 2001), using all available chips rather than two at a time to gather more information, while using the chip that is least likely to be affected by nonlinear effects as the reference chip. The assumption in our method is that there are at least a small number of non­differentially expressed genes across the intensity range. The normalized expression values can be substantially different from the unnormalized values and may result in altered down-stream analysis.