Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Clement Fung"'
Autor:
Christine P’ng, Jeffrey Green, Lauren C. Chong, Daryl Waggott, Stephenie D. Prokopec, Mehrdad Shamsi, Francis Nguyen, Denise Y. F. Mak, Felix Lam, Marco A. Albuquerque, Ying Wu, Esther H. Jung, Maud H. W. Starmans, Michelle A. Chan-Seng-Yue, Cindy Q. Yao, Bianca Liang, Emilie Lalonde, Syed Haider, Nicole A. Simone, Dorota Sendorek, Kenneth C. Chu, Nathalie C. Moon, Natalie S. Fox, Michal R. Grzadkowski, Nicholas J. Harding, Clement Fung, Amanda R. Murdoch, Kathleen E. Houlahan, Jianxin Wang, David R. Garcia, Richard de Borja, Ren X. Sun, Xihui Lin, Gregory M. Chen, Aileen Lu, Yu-Jia Shiah, Amin Zia, Ryan Kearns, Paul C. Boutros
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
Abstract Background We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. Results This open-source package includes multiple methods of displaying high-dimensional datasets and f
Externí odkaz:
https://doaj.org/article/4314e3a47df049aeb55750230ad05c88
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:1513-1525
Federated Learning is the current state-of-the-art in supporting secure multi-party machine learning (ML): data is maintained on the owner's device and the updates to the model are aggregated through a secure protocol. However, this process assumes a
Publikováno v:
Computer Security – ESORICS 2022 ISBN: 9783031171420
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfa7481ba39753a963206a4a5ee13807
https://doi.org/10.1007/978-3-031-17143-7_24
https://doi.org/10.1007/978-3-031-17143-7_24
Publikováno v:
WWW
Client-side cross-site scripting (DOM XSS) vulnerabilities in web applications are common, hard to identify, and difficult to prevent. Taint tracking is the most promising approach for detecting DOM XSS with high precision and recall, but is too comp
Autor:
Clement Fung, Ivan Beschastnikh
Publikováno v:
APSys
Rapid machine learning (ML) adoption across a range of industries has prompted numerous concerns. These range from privacy (how is my data being used?) to fairness (is this model's result representative?) and provenance (who is using my data and how
Autor:
Gregory M. Chen, Kathleen E. Houlahan, Ryan Kearns, Aileen Lu, Kenneth C. Chu, Marco A. Albuquerque, Xihui Lin, Daryl Waggott, Richard de Borja, Jianxin Wang, Ying Wu, Esther Jung, Ren X. Sun, Dorota H. Sendorek, Natalie S. Fox, Clement Fung, Francis Nguyen, Michal R. Grzadkowski, Stephenie D. Prokopec, Bianca Liang, Amanda R. Murdoch, Felix Lam, Christine P'ng, Paul C. Boutros, Lauren C. Chong, David R. Garcia, Nathalie C. Moon, Nicole A. Simone, Maud H.W. Starmans, Nicholas J. Harding, Mehrdad Shamsi, Syed Haider, Cindy Q. Yao, Emilie Lalonde, Michelle Chan-Seng-Yue, Amin Zia, Yu-Jia Shiah, Denise Y.F. Mak, Jeffrey Green
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-5 (2019)
BMC bioinformatics, vol 20, iss 1
BMC Bioinformatics
BMC bioinformatics, vol 20, iss 1
BMC Bioinformatics
Background We introduce BPG, a framework for generating publication-quality, highly-customizable plots in the R statistical environment. Results This open-source package includes multiple methods of displaying high-dimensional datasets and facilitate
Publikováno v:
Source code for biology and medicine, vol 12, iss 1
Source Code for Biology and Medicine
Source Code for Biology and Medicine
Next-generation sequencing is making it critical to robustly and rapidly handle genomic ranges within standard pipelines. Standard use-cases include annotating sequence ranges with gene or other genomic annotation, merging multiple experiments togeth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ccf3a4c587abf26d19455b6e534c73
https://escholarship.org/uc/item/4t0527nw
https://escholarship.org/uc/item/4t0527nw
Autor:
Michèle Orain, Yu Jia Shiah, Ken Kron, Lawrence E. Heisler, Mathieu Lupien, Xuemei Luo, Andre P. Masella, Michelle Sam, Paul C. Boutros, Shaylan K. Govind, Daryl Waggott, Veronica Y. Sabelnykova, Natalie S. Fox, Musaddeque Ahmed, Julia F. Hopkins, Lee Timms, Clement Fung, Francis Nguyen, Zhiyuan Wang, Taryne Chong, Alain Bergeron, Julie Livingstone, Yves Fradet, Melvin L.K. Chua, Timothy Beck, Alexander Murison, Bernard Têtu, Ada Wong, Ren X. Sun, Constance H. Li, Kathleen E. Houlahan, John Douglas Mcpherson, Cenk Sahinalp, Housheng Hansen He, Junyan Zhang, Robert G. Bristow, Jeremy Johns, Neil E. Fleshner, Alejandro Berlin, Michelle Chan-Seng-Yue, Christine P'ng, Nicholas Buchner, Alister D'Costa, Richard de Borja, Xihui Lin, Louis Lacombe, Jeffrey Green, Hélène Hovington, Vincent Huang, Kenneth C. Chu, Haiying Kong, Emilie Lalonde, Nicholas J. Harding, Syed Haider, Esther Jung, Colin Collins, Shadrielle Melijah G. Espiritu, Takafumi N. Yamaguchi, Bryan Lo, Michael Xie, Valérie Picard, Michael Fraser, Stephenie D. Prokopec, Christopher I Cooper, Fouad Yousif, Theodorus van der Kwast, Robert E. Denroche, Alice Meng, Dominique Trudel, Alan Dal Pra
Prostate tumours are highly variable in their response to therapies, but clinically available prognostic factors can explain only a fraction of this heterogeneity. Here we analysed 200 whole-genome sequences and 277 additional whole-exome sequences f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c6c8d0a7ff285be2d7353f137a1e56
Publikováno v:
Source Code for Biology and Medicine
Source code for biology and medicine, vol 11, iss 1
Source code for biology and medicine, vol 11, iss 1
Background Next-generation sequencing is making it critical to robustly and rapidly handle genomic ranges within standard pipelines. Standard use-cases include annotating sequence ranges with gene or other genomic annotation, merging multiple experim
Autor:
Hanbo Chen, Julie Livingstone, Cherry Have, Thomas J. Hudson, Veronica Y. Sabelnykova, Ada Wong, Stephenie D. Prokopec, Timothy Beck, Shaylan K. Govind, Kenneth C. Chu, Gaetano Zafarana, Robert G. Bristow, Neil E. Fleshner, Alister D'Costa, Fouad Yousif, Jeremy Johns, James R. Hawley, Daryl Waggott, Lee Timms, John D. Watson, Colin Cooper, Paul C. Boutros, Bernard Têtu, Emilie Lalonde, Cenk Sahinalp, Dominique Trudel, Jenna Sykes, Esther Jung, David E. Neal, Trent T. Simmons, Faraz Hach, Michael Fraser, Christine P'ng, Robert E. Denroche, Lincoln Stein, Colin Collins, Xuemei Luo, Rosalind A. Eeles, Sohrab P. Shah, Melania Pintilie, Theodorus van der Kwast, Clement Fung, Francis Nguyen, Michelle Chan-Seng-Yue, Andrew M.K. Brown, John Douglas Mcpherson, Amin Zia, Alan Dal Pra, Nicholas J. Harding, Alice Meng, Lauren C. Chong, Philippe Lambin, Pablo H. Hennings-Yeomans, Richard de Borja, Nicholas Buchner, Andrew McPherson, Jianxin Wang, Yu Jia Shiah, Michelle Sam, Maud H.W. Starmans, Natalie S. Fox, Taryne Chong, Gregory M. Chen, Alejandro Berlin, Lakshmi Muthuswamy
Publikováno v:
Nature Genetics, 47(7), 736-+. Nature Publishing Group
Herein we provide a detailed molecular analysis of the spatial heterogeneity of clinically localized, multifocal prostate cancer to delineate new oncogenes or tumor suppressors. We initially determined the copy number aberration (CNA) profiles of 74