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      • KCI등재
      • KCI등재후보

        상염색체 STR 유전자형 시뮬레이션을 이용한 한국인에서의혈연지수 분포 분석

        양인석,이환영,박수정,신경진,양우익 대한법의학회 2013 대한법의학회지 Vol.37 No.2

        Kinship testing in forensic casework is largely based on a likelihood ratio (LR)approach with short tandem repeat (STR) markers; however, in order to efficiently identify potential relatives in a specific population, the threshold values for kinship prediction should be determined by analyzing the kinship index distributions of the population in question. In this study, 250,000 DNA profiles were simulated using allele frequencies at 20 autosomal STR loci in Koreans, then the LRs were calculated for true close relatives and unrelated pairs. The LR distributions in related and unrelated pairs under a given relationship were compared in 2 sets of 13 Combined DNA Index System (CODIS) and 20 STR profiles. Using 13 CODIS STRs, true relatives in parent/child and full-sibling relationships were sufficiently discriminated from unrelated pairs with LR thresholds of 1,000 and 100, respectively. However, the CODIS STRs lacked the discriminatory power to differentiate between related and unrelated pairs in uncle/nephew and first cousin relationships due to high false-positive and false-negative rates with a LR threshold of 10. Increasing the number of STR loci to 20 increased discrimination of close relatives, but high false results remained in uncle/nephew and first cousin relationships. The kinship index data from this study will help make decisions on various kinship testing and familial searching in Koreans

      • KCI등재

        수은 삼중점 온도 실현의 교정 기관 내 비교

        양인석,이영희 한국센서학회 2022 센서학회지 Vol.31 No.6

        An intralaboratory comparison of the realization of the triple-point temperature of mercury, which is defined as .38.8344℃ on the international temperature scale of 1990 (ITS-90), was conducted at the Korea Research Institute of Standards and Science (KRISS), the national metrology institute of Korea. To this end, four triple-point-of-mercury cells were compared using the resistance ratio measurementof a standard platinum resistance thermometer to validate the calibration results obtained using the triple-point-of-mercury cells at KRISS. The triple-point temperatures of all the four cells, one of which is designated as the national standard cell, were within 0.3mK of the national standard. Based on 13 experiments on the four triple-point-of-mercury cells, the uncertainty in the comparison of the triple-point-of-mercury cells was 0.08 mK, and the uncertainty in the realization of the triple-point temperature of mercury was 0.19mK. The results of the intralaboratory comparison validated that utilizing any of the four triple-point-of-mercury cells would result in the realization of a temperature within 0.3 mK of the average value determined by two key international comparisons for the realizationof .38.3844℃ following the ITS-90.

      • KCI등재

        이분산 로짓모형의 추정과 적용

        양인석,노정현,김강수 대한교통학회 2003 대한교통학회지 Vol.21 No.4

        로짓모형은 선택대안에 대한 확률 계산이 용이하고, 설명변수의 파라메타 추정이 용이하기 때문에 교통 수단선택모형으로 널리 쓰여지고 있다. 그러나 이러한 로짓모형은 수단선택 효용함수의 오차항 분포가 선택 대안간에 독립적이고, 그 분산이 동일하다는(IID:Independent and Identically Distributed)가정을 내포한다.본 연구는 수단선택 효용오차의 분산이 수단간에 동일하다는 가정을 완화시키는 이분산 로짓모형 추정에 관한 연구이다. 수단선택 효용오차항의 동분산성을 극복함으로써 보다 현실적인 통행자의 수단선택행태를 반영하는 로짓모형을 추정하는데 본 연구의 목적이 있다. 이를 위해 로짓모형 오차항의 분산과 직접적인 관련이 있는 규모인자(scale factor)를 도입하였다. 이는 대중교통과 승용차의 통행시간차이에 따른 이분산성을 고려하도록 정의되었으며, 이를 통행시간 파라메타 추정에 활용하였다.본 연구에서 개발된 이분산 로짓모형의 추정 결과, 통행자의 통행시간이 증가하면서 대중교통수단과 승용차의 통행시간차이가 동일하더라도 통행자의 대중교통 수단선택확률이 차이를 보임으로 현실적인 통행자의 수단선택행태를 반영하는 것으로 판명되었다. Because the Logit model easily calculates probabilities for choice alternatives and estimates parameters for explanatory variables, it is widely used as a traffic mode choice model. However, this model includes an assumption which is independently and identically distributed to the error component distribution of the mode choice utility function. This paper is a study on the estimation of the Heteroscedastic Logit Model, which mitigates this assumption. The purpose of this paper is to estimate a Logit model that more accurately reflects the mode choice behavior of passengers by resolving the homoscedasticity of the model choice utility error component. In order to do this, we introduced a scale factor that is directly related to the error component distribution of the model. This scale factor was defined so as to take into account the heteroscedasticity in the difference in travel time between using public transport and driving a car, and was used to estimate the travel time parameter. The results of the Logit Model estimation developed in this study show that Heteroscedastic Logit Models can realistically reflect the mode choice behavior of passengers, even if the difference in travel time between public and private transport remains the same as passenger travel time increases, by identifying the difference in mode choice probability of passengers for public transportation.

      • KCI등재

        Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

        양인석,김상우 한국유전체학회 2015 Genomics & informatics Vol.13 No.4

        RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.

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