ORCID Profile
0000-0002-5018-2637
Current Organisation
University of Canberra Faculty of Business Government and Law
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Publisher: Elsevier BV
Date: 03-2002
Publisher: JSTOR
Date: 2002
DOI: 10.2307/3069607
Publisher: Wiley
Date: 02-0012
Publisher: Wiley
Date: 03-2010
Publisher: Wiley
Date: 13-01-2011
Publisher: Springer Science and Business Media LLC
Date: 24-02-2007
Publisher: Portland Press Ltd.
Date: 12-2017
DOI: 10.1042/BST20170055
Abstract: Genomic DNA is constantly under threat from intracellular and environmental factors that damage its chemical structure. Uncorrected DNA damage may impede cellular propagation or even result in cell death, making it critical to restore genomic integrity. Decades of research have revealed a wide range of mechanisms through which repair factors recognize damage and co-ordinate repair processes. In recent years, single-molecule live-cell imaging methods have further enriched our understanding of how repair factors operate in the crowded intracellular environment. The ability to follow in idual biochemical events, as they occur in live cells, makes single-molecule techniques tremendously powerful to uncover the spatial organization and temporal regulation of repair factors during DNA–repair reactions. In this review, we will cover practical aspects of single-molecule live-cell imaging and highlight recent advances accomplished by the application of these experimental approaches to the study of DNA–repair processes in prokaryotes.
Publisher: Wiley
Date: 06-2012
Publisher: University of Chicago Press
Date: 10-2004
DOI: 10.1086/423251
Publisher: Informa UK Limited
Date: 02-06-2017
Publisher: Informa UK Limited
Date: 02-05-2016
Publisher: Wiley
Date: 08-2018
DOI: 10.1111/ANZS.12240
Publisher: Springer Science and Business Media LLC
Date: 16-09-2008
Publisher: University of Chicago Press
Date: 2009
DOI: 10.1086/592838
Publisher: Wiley
Date: 16-02-2011
Publisher: Wiley
Date: 2005
DOI: 10.1002/JAE.780
Publisher: Wiley
Date: 30-11-2017
Publisher: Wiley
Date: 23-02-2017
Publisher: Springer Science and Business Media LLC
Date: 03-2002
DOI: 10.1038/416076A
Publisher: Wiley
Date: 19-12-2015
DOI: 10.1002/APP5.64
Publisher: Elsevier BV
Date: 08-2008
Publisher: Institute of Mathematical Statistics
Date: 06-2015
DOI: 10.1214/15-AOAS814
Publisher: Wiley
Date: 22-05-2019
DOI: 10.1002/SIM.8205
Abstract: Errors-in-variables (EIV) regression is widely used in econometric models. The statistical analysis becomes challenging when the regression function is discontinuous and the distribution of measurement error is unknown. In the literature, most existing jump regression methods either assume that there is no measurement error involved or require that jumps are explicitly detected before the regression function can be estimated. In some applications, however, the ultimate goal is to estimate the regression function and to preserve the jumps in the process of estimation. In this paper, we are concerned with reconstructing jump regression curve from data that involve measurement error. We propose a direct jump-preserving method that does not explicitly detect jumps. The challenge of restoring jump structure masked by measurement error is handled by local clustering. Theoretical analysis shows that the proposed curve estimator is statistically consistent. A numerical comparison with an existing jump regression method highlights its jump-preserving property. Finally, we demonstrate our method by an application to a health tax policy study in Australia.
Publisher: Elsevier BV
Date: 09-2019
Publisher: Informa UK Limited
Date: 21-05-2009
Publisher: Oxford University Press (OUP)
Date: 23-07-2014
DOI: 10.1093/OEP/GPU022
Publisher: Elsevier BV
Date: 2017
Publisher: Wiley
Date: 02-07-2013
Publisher: Elsevier BV
Date: 09-2002
Location: Australia
No related grants have been discovered for XIAODONG GONG.