Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Peter Garst"'
Autor:
Lei Huang, Naisha Shah, Ilan Shomorony, Jian Wu, Nafisa Bulsara, Christine Leon Swisher, Lei Yang, David S. Karow, Hyun-Kyung Chung, James B. Brewer, Dmitry Tkach, Graff Alexander M, Natalie M. Schenker-Ahmed, Svetlana Bureeva, Robyn Heister, Peter Garst, Wayne Delport, Tetiana Dadakova, Arya Iranmehr
SUMMARYBackgroundAlzheimer’s disease is a major health problem, affecting ~4⋅5% of people aged 60 and older in 2016 with over 43 million affected globally1. The traditional approach for detection evaluates an individual in the presence of symptom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f793ca112e0071d43479590f1b30e539
Autor:
Christoph Lippert, Riccardo Sabatini, M. Cyrus Maher, Eun Yong Kang, Seunghak Lee, Okan Arikan, Alena Harley, Axel Bernal, Peter Garst, Victor Lavrenko, Ken Yocum, Theodore M. Wong, Mingfu Zhu, Wen-Yun Yang, Chris Chang, Barry Hicks, Smriti Ramakrishnan, Haibao Tang, Chao Xie, Suzanne Brewerton, Yaron Turpaz, Amalio Telenti, Rhonda K. Roby, Franz Och, J. Craig Venter
In a recently published PNAS article, we studied the identifiability of genomic samples using machine learning methods [Lippert et al., 2017]. In a response, Erlich [2017] argued that our work contained major flaws. The main technical critique of Erl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb252dfd452abe01a8058e86c381c600
http://edoc.mdc-berlin.de/16899/1/16899oa.pdf
http://edoc.mdc-berlin.de/16899/1/16899oa.pdf
Autor:
Alena Harley, Barry W. Hicks, Chao Xie, Timothy T. Lu, Theodore M. Wong, Yaron Turpaz, Riccardo Sabatini, Wen-Yun Yang, Mingfu Zhu, Suzanne Brewerton, Seunghak Lee, Eun Yong Kang, Christopher J. Chang, Haibao Tang, M. Cyrus Maher, Jason Piper, Franz Josef Och, Amalio Telenti, Peter Garst, Christoph Lippert, Rhonda K. Roby, Kenneth Yocum, Victor Lavrenko, Axel Bernal, J. Craig Venter, Charlie W. H. Lee, Smriti Ramakrishnan, Okan Arikan
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b4e39454734858a2bec4f290b88762
https://europepmc.org/articles/PMC5617305/
https://europepmc.org/articles/PMC5617305/
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