• 제목/요약/키워드: Bayes theorem

검색결과 47건 처리시간 0.023초

Identifying Copy Number Variants under Selection in Geographically Structured Populations Based on F-statistics

  • Song, Hae-Hiang;Hu, Hae-Jin;Seok, In-Hae;Chung, Yeun-Jun
    • Genomics & Informatics
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    • 제10권2호
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    • pp.81-87
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    • 2012
  • Large-scale copy number variants (CNVs) in the human provide the raw material for delineating population differences, as natural selection may have affected at least some of the CNVs thus far discovered. Although the examination of relatively large numbers of specific ethnic groups has recently started in regard to inter-ethnic group differences in CNVs, identifying and understanding particular instances of natural selection have not been performed. The traditional $F_{ST}$ measure, obtained from differences in allele frequencies between populations, has been used to identify CNVs loci subject to geographically varying selection. Here, we review advances and the application of multinomial-Dirichlet likelihood methods of inference for identifying genome regions that have been subject to natural selection with the $F_{ST}$ estimates. The contents of presentation are not new; however, this review clarifies how the application of the methods to CNV data, which remains largely unexplored, is possible. A hierarchical Bayesian method, which is implemented via Markov Chain Monte Carlo, estimates locus-specific $F_{ST}$ and can identify outlying CNVs loci with large values of FST. By applying this Bayesian method to the publicly available CNV data, we identified the CNV loci that show signals of natural selection, which may elucidate the genetic basis of human disease and diversity.

A Korean Homonym Disambiguation System Based on Statistical, Model Using weights

  • Kim, Jun-Su;Lee, Wang-Woo;Kim, Chang-Hwan;Ock, Cheol-young
    • 한국언어정보학회:학술대회논문집
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    • 한국언어정보학회 2002년도 Language, Information, and Computation Proceedings of The 16th Pacific Asia Conference
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    • pp.166-176
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    • 2002
  • A homonym could be disambiguated by another words in the context as nouns, predicates used with the homonym. This paper using semantic information (co-occurrence data) obtained from definitions of part of speech (POS) tagged UMRD-S$^1$), In this research, we have analyzed the result of an experiment on a homonym disambiguation system based on statistical model, to which Bayes'theorem is applied, and suggested a model established of the weight of sense rate and the weight of distance to the adjacent words to improve the accuracy. The result of applying the homonym disambiguation system using semantic information to disambiguating homonyms appearing on the dictionary definition sentences showed average accuracy of 98.32% with regard to the most frequent 200 homonyms. We selected 49 (31 substantives and 18 predicates) out of the 200 homonyms that were used in the experiment, and performed an experiment on 50,703 sentences extracted from Sejong Project tagged corpus (i.e. a corpus of morphologically analyzed words) of 3.5 million words that includes one of the 49 homonyms. The result of experimenting by assigning the weight of sense rate(prior probability) and the weight of distance concerning the 5 words at the front/behind the homonym to be disambiguated showed better accuracy than disambiguation systems based on existing statistical models by 2.93%,

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Pharmacological and non-pharmacological strategies for preventing postherpetic neuralgia: a systematic review and network meta-analysis

  • Kim, Junhyeok;Kim, Min Kyoung;Choi, Geun Joo;Shin, Hwa Yong;Kim, Beom Gyu;Kang, Hyun
    • The Korean Journal of Pain
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    • 제34권4호
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    • pp.509-533
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    • 2021
  • Background: Postherpetic neuralgia (PHN) is a refractory complication of herpes zoster (HZ). To prevent PHN, various strategies have been aggressively adopted. However, the efficacy of these strategies remains controversial. Therefore, we aimed to estimate the relative efficacy of various strategies used in clinical practice for preventing PHN using a network meta-analysis (NMA). Methods: We performed a systematic and comprehensive search to identify all randomized controlled trials. The primary outcome was the incidence of PHN at 3 months after acute HZ. We performed both frequentist and Bayesian NMA and used the surface under the cumulative ranking curve (SUCRA) values to rank the interventions evaluated. Results: In total, 39 studies were included in the systematic review and NMA. According to the SUCRA value, the incidence of PHN was lower in the order of continuous epidural block with local anesthetics and steroids (EPI-LSE), antiviral agents with subcutaneous injection of local anesthetics and steroids (AV + sLS), antiviral agents with intracutaenous injection of local anesthetics and steroids (AV + iLS) at 3 months after acute HZ. EPI-LSE, AV + sLS and AV + iLS were also effective in preventing PHN at 1 month after acute HZ. And paravertebral block combined with antiviral and antiepileptic agents was effective in preventing PHN at 1, 3, and 6 months. Conclusions: The continuous epidural block with local anesthetics and steroid, antiviral agents with intracutaneous or subcutaneous injection of local anesthetics and a steroid, and paravertebral block combined with antiviral and antiepileptic agents are effective in preventing PHN.

Causal Inference Network of Genes Related with Bone Metastasis of Breast Cancer and Osteoblasts Using Causal Bayesian Networks

  • Park, Sung Bae;Chung, Chun Kee;Gonzalez, Efrain;Yoo, Changwon
    • 대한골대사학회지
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    • 제25권4호
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    • pp.251-266
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    • 2018
  • Background: The causal networks among genes that are commonly expressed in osteoblasts and during bone metastasis (BM) of breast cancer (BC) are not well understood. Here, we developed a machine learning method to obtain a plausible causal network of genes that are commonly expressed during BM and in osteoblasts in BC. Methods: We selected BC genes that are commonly expressed during BM and in osteoblasts from the Gene Expression Omnibus database. Bayesian Network Inference with Java Objects (Banjo) was used to obtain the Bayesian network. Genes registered as BC related genes were included as candidate genes in the implementation of Banjo. Next, we obtained the Bayesian structure and assessed the prediction rate for BM, conditional independence among nodes, and causality among nodes. Furthermore, we reported the maximum relative risks (RRs) of combined gene expression of the genes in the model. Results: We mechanistically identified 33 significantly related and plausibly involved genes in the development of BC BM. Further model evaluations showed that 16 genes were enough for a model to be statistically significant in terms of maximum likelihood of the causal Bayesian networks (CBNs) and for correct prediction of BM of BC. Maximum RRs of combined gene expression patterns showed that the expression levels of UBIAD1, HEBP1, BTNL8, TSPO, PSAT1, and ZFP36L2 significantly affected development of BM from BC. Conclusions: The CBN structure can be used as a reasonable inference network for accurately predicting BM in BC.

콘크리트 구조물의 확률론적 탄산화 예측 모델 개발 및 내구성 해석 (Durability Analysis and Development of Probability-Based Carbonation Prediction Model in Concrete Structure)

  • 정현준
    • 대한토목학회논문집
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    • 제30권4A호
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    • pp.343-352
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    • 2010
  • 최근에 탄산화 콘크리트 구조물의 정량적인 사용수명과 장기적인 성능을 확보하고 예측하기 위해서 확률론적인 내구성 해석 및 설계를 수행하는 연구가 많이 진행되고 있다. 이와 관련하여 콘크리트 구조물에 확률론적 내구성 설계 개념을 도입되고 있다. 본 논문에서는 탄산화 콘크리트 구조물의 통계적인 자료를 이용하여 Fick의 첫 번째 법칙에 근거한 탄산화 예측 모델에 적용하였으며, 이를 이용하여 확률론적 내구성 해석을 수행하였다. 이 예측모델에 관련된 설계변수인 $CO_2$ 확산계수, 대기중의 $CO_2$ 농도, $CO_2$ 흡착량, 시멘트 수화도 등의 영향을 검토하였다. 확률론에 기초한 탄산화 예측모델은 여러 환경에 위치한 콘크리트 구조물에 모니터링 자료를 이용하여 탄산화 깊이와 잔존수명을 예측하였다. 그 결과로 본 연구에서 합리적인 탄산화 예측모델을 이용한 적용 방법은 탄산화 콘크리트 구조물의 내구성 확보 및 구조물의 손상 개시시기를 예측하고 구조물을 유지 관리하기 위한 유연한 의사결정을 할 수 있을 것으로 판단된다.

고립성 폐결절의 예후에 관여하는 인자 (The Prognostic Factors of Solitary Pulmonary Nodule)

  • 정윤섭;김주현
    • Journal of Chest Surgery
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    • 제22권3호
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    • pp.425-435
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    • 1989
  • The solitary pulmonary nodule is considered as a round or ovoid lesion with sharp, circumscribed borders, surrounded by normal appearing lung parenchyme on all sides, and found on a simple chest X-ray without any particular symptoms or signs. There is a wide spectrum of pathologic conditions in the solitary pulmonary nodules prove to be malignant tumors, either primary or metastatic. Most Benign granulomas and other benign conditions can also be seen as solitary nodules. The resection of solitary malignant nodules results in a surprisingly high 5-year survival rate. On the contrary, most benign nodules do not need to be resected and a period of prolonged observation and nonsurgical management is usually indicated. Therefore, the best approach to the controversial management of solitary pulmonary nodules depends on finding factors affecting the probability of malignancy. In this article, clinical records and chest roentgenographies of 60 patients operated on over the past 8 years at the Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital were reviewed. There were 15 malignant nodules and 45 benign nodules and the prevalence of malignancy was 25%. The most common pathologic entity was tuberculoma [21 cases]. The mean age was 55.5*9.6 years in the malignant group, 45.8>12.5 years in the benign group and there was a significant statistical difference between the two groups [P < 0.05]. The malignant ratio in each age group increased with advancing age. The average smoking amount was 35.6*12.9 cigarettes per day in malignant smokers, 20.9* 12.0 cigarettes per day in benign smokers, and there was a significant statistical difference between the two groups [p< 0.05]. The malignant ratio also increased with the increasing smoking amount. Comparing the appearance of the nodule on chest films, 6 calcifications and 7 cavitations were found only in benign nodules, not in malignant nodules. Therefore, calcification and cavitation can be considered as preferential findings for benignity. Previous cancer history was also a significant factor deciding the prognosis of the nodule [p< 0.05]. The average diameter on chest X-ray was 3.07*0.82 cm in malignant nodules, 3.25*1.04 cm in benign nodules and there was no significant statistical difference between the two groups [p< 0.05]. The author used Bayes theorem to develop a simple method for combining individual clinical or radiological factors of patients with solitary nodules into an overall estimate of the probability that the nodule is malignant. In conclusion, patient age, smoking amount, appearance of nodule on chest film such as calcification and cavitation, and previous cancer history were found to be strongly associated with malignancy, but size of nodule was not associated with malignancy. Since these prognostic factors have been found retrospectively, prospective controlled studies are needed to determine whether these factors have really prognostic significance.

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과점산업(寡占産業)에서의 진입제한가격(進入制限價格) (Limit Pricing by Noncooperative Oligopolists)

  • 남일총
    • KDI Journal of Economic Policy
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    • 제12권1호
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    • pp.127-148
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    • 1990
  • 이 논문의 기본목표는 Bain 이래 논란의 대상이 되어 온 기존기업들에 의한 진입제한가격(進入制限價格)의 형성이 일반적으로 가능한가, 가능하다면 어떠한 메커니즘을 통해 형성되는 가를 밝히고, 진입제한가격이론(進入制限價格理論)이 한국경제에 갖는 의의를 찾아보는데 있다, 이 논문에서 밝혀질 주요결과는 다음과 같다. 첫째, 다수의 기존기업(旣存企業)이 각자의 이윤극대화(利潤極大化)를 추구하며 카르텔을 형성하지 않는 때에도 기존기업(旣存企業)과 잠재적(潛在的) 신규기업간(新規企業間)에 정보의 불균형이 존재하는 경우 진입제한가격(進入制限價格)이 채택될 가능성이 있다. 둘째, 이러한 과점기업(寡占企業)들에 의한 진입제한가격형성(進入制限價格形成)은 암묵적 담합의 새로운 형태로 해석할 수 있다. 셋째, 진입제한가격형성(進入制限價格形成)은 각종 회계자료(會計資料)가 공표되지 않을 경우에 가능하다. 넷째, 기존기업(旣存企業)의 수(數)가 증가하여 산업(産業)이 완전경쟁산업(完全競爭産業)에 접근해 감에 따라 진입제한가격(進入制限價格)이 형성될 가능성은 사라지게 된다.

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