Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Edmund Su"'
Autor:
Camila P E de Souza, Mirela Andronescu, Tehmina Masud, Farhia Kabeer, Justina Biele, Emma Laks, Daniel Lai, Patricia Ye, Jazmine Brimhall, Beixi Wang, Edmund Su, Tony Hui, Qi Cao, Marcus Wong, Michelle Moksa, Richard A Moore, Martin Hirst, Samuel Aparicio, Sohrab P Shah
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 9, p e1008270 (2020)
We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we
Externí odkaz:
https://doaj.org/article/95e95387e9fb465bb06950a35a44a9d9
Publikováno v:
Cancer Genetics. :27-28
Autor:
Edmund Su, Theodore Smith, Peter C. Stirling, Arun Kumar, Martin Hirst, Louis-Alexandre Fournier, Michelle Moksa
Publikováno v:
SSRN Electronic Journal.
In the past decade there has been a growing appreciation for R-loop structures as important regulators of the epigenome, telomere maintenance, DNA repair and replication. Given these numerous functions, dozens, or potentially hundreds, of proteins co
Autor:
Edmund Sui Lung NG
Publikováno v:
Religions, Vol 15, Iss 10, p 1204 (2024)
During the 1950s, John K. Fairbank introduced the ‘Impact–Response’ paradigm for the study of the Christian mission in the non-Western world, focusing on the impact of Western civilization, including Christianity, in China, and the Chinese resp
Externí odkaz:
https://doaj.org/article/09555a2fd21d41aeb88b65ae6a59d427
Autor:
Jason Nguyen, Edmund Su, Simon Haile, Agatha N. Jassem, Amee R. Manges, Diane Eisler, Michelle Moksa, Mel Krajden, David D.W. Twa, Leah M Prentice, Qi Cao, Stephen Pleasance, Aidan M. Nikiforuk, Martin Krzywinski, Andrew J. Mungall, Natalie Prystajecky, Steven J. M. Jones, Frankie Tsang, Jessica Nelson, Marcus Wong, Duane E Smailus, Marco A. Marra, Yongjun Zhao, Angus Wong, Pawan Pandoh, Martin Hirst, Robin J.N. Coope
Publikováno v:
Journal of Virological Methods
The COVID-19 pandemic has highlighted the need for generic reagents and flexible systems in diagnostic testing. Magnetic bead-based nucleic acid extraction protocols using 96-well plates on open liquid handlers are readily amenable to meet this need.
Autor:
Daniel Lai, Camila P. E. de Souza, Michelle Moksa, Edmund Su, Sohrab P. Shah, Tony Hui, Martin Hirst, Qi Cao, Beixi Wang, Patricia Ye, Samuel Aparicio, Emma Laks, Farhia Kabeer, Jazmine Brimhall, Mirela Andronescu, Tehmina Masud, Marcus Wong, Richard A. Moore, Justina Biele
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 9, p e1008270 (2020)
PLoS Computational Biology, Vol 16, Iss 9, p e1008270 (2020)
We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and impute missing values. Using synthetic and published single-cell CpG datasets, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702d2ed01e80a85e516760b256db21be
https://doi.org/10.1101/414482
https://doi.org/10.1101/414482