• 제목/요약/키워드: Deletion

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Influence Measures for a Test Statistic on Independence of Two Random Vectors

  • Jung Kang-Mo
    • Communications for Statistical Applications and Methods
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    • 제12권3호
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    • pp.635-642
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    • 2005
  • In statistical diagnostics a large number of influence measures have been proposed for identifying outliers and influential observations. However it seems to be few accounts of the influence diagnostics on test statistics. We study influence analysis on the likelihood ratio test statistic whether the two sets of variables are uncorrelated with one another or not. The influence of observations is measured using the case-deletion approach, the influence function. We compared the proposed influence measures through two illustrative examples.

Overexpression of the bacteriophase PRD1 DNA polymerase

  • Jung, Gu-Hung
    • 미생물학회지
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    • 제30권2호
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    • pp.141-148
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    • 1992
  • In order to overexpress bacteriophage PRD1 DNA polymerase in E. coli cells, the 2 kb HaeII fragment was isolated from phage genomic DNA. This fragment was then cloned into pEMBL/sup ex/ 3-expression vector. A specific 57bp deletion was performed by using uracil containing ss DNA and oligonucleotide spanning each region to remove an unwanted non-coding region. After this deletion, the PRD1 DNA polymerase gene is totally under the control of the vector promoter and SD sequence. Upon heat induction, a protein with an apparent size of 68 kdal was overexpressed as an active PRD1 DNA polymerase. The expression of PRD1 DNA polymerase was about 1% of total E. coli protein.

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Identification of Genes Related to Fungicide Resistance in Fusarium fujikuroi

  • Choi, Younghae;Jung, Boknam;Li, Taiying;Lee, Jungkwan
    • Mycobiology
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    • 제45권2호
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    • pp.101-104
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    • 2017
  • We identified two genes related to fungicide resistance in Fusarium fujikuroi through random mutagenesis. Targeted gene deletions showed that survival factor 1 deletion resulted in higher sensitivity to fungicides, while deletion of the gene encoding F-box/WD-repeat protein increased resistance, suggesting that the genes affect fungicide resistance in different ways.

Allantoin 분해 유전자들의 발현 유도에 관여하는 세가지 요소 (UAS, URS, UIS)

  • 유향숙
    • 미생물과산업
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    • 제14권1호
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    • pp.12-16
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    • 1988
  • Allantoin 분해 유전자들중 highly inducible 한 DAL7, DUR1,2및 constitutive한 DAL5 gene의 promoter를 deletion 방법에 의해 발현에 필요한 최소 DNA seqyence 부위를 정한후 이 DNA seqyence를 다시 oligonucleotide 합성방법에 의해 합성하여 Cyc 1-LacZ expression vector에 삽입하여 효모내에서 LacZ의 발현이 삽입한 DNA sequence에 의해 영향을 받는 정도를 측정하여 (.betha.-galactosidase activity) deletion 방법에 의해 결정한 이 DNA dequence들이 직접 발현유도에 관여하는가를 조사하였다.

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일변량 및 이변량 자료에 대하여 특이값의 영향을 평가하기 위한 그래픽 방법 (Graphical Methods for Evaluating the Effect of Outliers in Univariate and Bivariate Data)

  • 장대흥
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2006년도 추계 학술대회
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    • pp.221-226
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    • 2006
  • We usually use two techniques(influence function and local influence) for detecting outliers. But, we cannot use these difficult techniques in elementary industrial statistics course for college students. We can use some simple graphical methods(box plot, dandelion seed plot, influence graph and cumulative deletion plot) for univariate and bivariate outlier detection and outlier effect in elementary industrial statistics course for college students.

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효율적인 재해석 기법에 의한 RC 교각의 최적설계 (Optimization of RC Piers Based on Efficient Reanalysis Technique)

  • 조효남;민대홍;신만규
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2000년도 가을 학술발표회논문집(I)
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    • pp.199-204
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    • 2000
  • In this study, an optimum design algorithm using efficient reanalysis is proposed for seismic design of RC Piers. The proposed algorithm for optimization of RC Piers is based on efficient reanalysis technique. Considering structural behavior of RC Piers, several other approximation techniques, such as artificial constraint deletion is introduced to increase the efficiency of optimization. The efficiency and robustness of the proposed algorithm increase the proposed reanalysis technique is demonstrated by comparing it with a conventional optimization algorithm. A few of design examples are optimized to show the applicability of the proposed algorithm.

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가변구조 모델링을 위한 확장된 DEVS 모델링 및 시뮬레이션 방법론 (Extend DEVS Modeling and Simulation Methodology for Variable Structure Modeling)

  • 정기찬;이종근;이장세;지승도
    • 한국시뮬레이션학회논문지
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    • 제8권4호
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    • pp.109-124
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    • 1999
  • The major objective of this research is to design and build the variable structure DEVS modeling & simulation framework. To do this, we have proposed the direct message passing mechanism between the model and its simulator to deal with the structural demand from the model during the simulation. In this approach, four types of basic messages are introduced for the vertical(creation/deletion of the child) and horizontal(creation/deletion of the brother) structural changes. Proposed methodology has been successfully applied to the multi-processor system and the forest fire information system.

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On the Logistic Regression Diagnostics

  • Kim, Choong-Rak;Jeong, Kwang-Mo
    • Journal of the Korean Statistical Society
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    • 제22권1호
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    • pp.27-37
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    • 1993
  • Since the analytic expression for a diagnostic in the logistic regression model is not available, one-step estimation is often used by a case-deletion point of view. In this paper, infinitesimal perturbation approach is used, and it is shown that the scale transformation of infinitesimal perturbation approach is eventually equal to the weighted perturbation of local influence approach and the replacement measure. Also, multiple cases deletion for the masking effect is considered.

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Influence Measures for the Likelihood Ratio Test on Independence of Two Random Vectors

  • Jung, Kang-Mo
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2001년도 추계학술대회
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    • pp.13-16
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    • 2001
  • We compare methods for detecting influential observations that have a large influence on the likelihood ratio test statistics that the two sets of variables are uncorrelated with one another. For this purpose we derive results of the deletion diagnostic, the influence function, the standardized influence matrix and the local influence. An illustrative example is given.

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