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- 저자 : Longfei Mi (검색결과 2 건)
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On the association analysis of CNV data: a fast and robust family-based association method
Liu, Meiling,Moon, Sanghoon,Wang, Longfei,Kim, Sulgi,Kim, Yeon-Jung,Hwang, Mi Yeong,Kim, Young Jin,Elston, Robert C.,Kim, Bong-Jo,Won, Sungho BioMed Central 2017 BMC bioinformatics Vol.18 No.1
<P><B>Background</B></P><P>Copy number variation (CNV) is known to play an important role in the genetics of complex diseases and several methods have been proposed to detect association of CNV with phenotypes of interest. Statistical methods for CNV association analysis can be categorized into two different strategies. First, the copy number is estimated by maximum likelihood and association of the expected copy number with the phenotype is tested. Second, the observed probe intensity measurements can be directly used to detect association of CNV with the phenotypes of interest.</P><P><B>Results</B></P><P>For each strategy we provide a statistic that can be applied to extended families. The computational efficiency of the proposed methods enables genome-wide association analysis and we show with simulation studies that the proposed methods outperform other existing approaches. In particular, we found that the first strategy is always more efficient than the second strategy no matter whether copy numbers for each individual are well identified or not. With the proposed methods, we performed genome-wide CNV association analyses of hematological trait, hematocrit, on 521 Korean family samples.</P><P><B>Conclusions</B></P><P>We found that statistical analysis with the expected copy number is more powerful than the statistic with the probe intensity measurements regardless of the accuracy of the estimation of copy numbers.</P><P><B>Electronic supplementary material</B></P><P>The online version of this article (doi:10.1186/s12859-017-1622-z) contains supplementary material, which is available to authorized users.</P>
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Mukerem. H Abib,Xudong Yao,Guopeng Li,Longfei Mi,Yajing Chang,Hui Wang,Dabin Yu,YANG JIANG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.8
Geometrical structures of (ZnSe)n, n = 3x, (x = 1–4) and (MnxZn2xSe3x), (x = 1–4) clusters were calculated using density functional theory (DFT). Optical/absorption spectra, Raman spectra, HOMO–LUMO gap energy and binding energy of each cluster were calculated. The calculated results show the red shift of the optical/absorption spectra band caused by the manganese atoms doped in ZnSe clusters, and the highest occupied molecular orbital-lowest unoccupied molecular orbital (HOMO–LUMO) gap energy value is decreased. Furthermore, we realized highly monodispersed manganese-doped zinc selenide quantum dots (Mn:ZnSe d-dots) experimentally by using a convenient route. The as-synthesized Mn:ZnSe d-dots were characterized by UV-Vis absorption, photoluminescence (PL), X-ray diffraction (XRD), TEM and HRTEM. The experimental results revealed that the as-prepared Mn:ZnSe d-dots with zincblende structure have an average size of about 3.9 nm.
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