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Staal A Vinterbo

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Knowledge and Data Engineering|March 5, 2011
Spectral Anonymization of DataThomas A Lasko, Staal A Vinterbo
BMC Bioinformatics|January 13, 2006
Approximation properties of haplotype taggingStaal A Vinterbo, Stephan Dreiseitl, Lucila Ohno-Machado
Artificial Intelligence in Medicine|July 10, 2003
An Epicurean learning approach to gene-expression data classificationAndreas Albrecht, Staal A Vinterbo, Lucila Ohno-Machado
Journal of the American Medical Informatics Association : JAMIA|April 19, 2012
Protecting count queries in study designStaal A Vinterbo, Anand D Sarwate, Aziz A Boxwala
Bioinformatics (Oxford, England)|January 22, 2005
Small, fuzzy and interpretable gene expression based classifiersStaal A Vinterbo, Eun-Young Kim, Lucila Ohno-Machado
The Lancet. Infectious Diseases|April 12, 2014
Ensuring privacy in the study of pathogen geneticsSanjay R Mehta, Staal A Vinterbo, Susan J Little
Journal of Public Health Research|January 2, 2018
Perceptions of molecular epidemiology studies of HIV among stakeholdersCynthia Schairer, Sanjay R Mehta, Staal A Vinterbo, et al.
AJOB Empirical Bioethics|May 4, 2019
Trust and Expectations of Researchers and Public Health Departments for the Use of HIV Molecular EpidemiologyCynthia E Schairer, Sanjay R Mehta, Staal A Vinterbo, et al.
Journal of Biomedical Informatics|October 7, 2004
A primer on gene expression and microarrays for machine learning researchersWinston Patrick Kuo, Eun-Young Kim, Jeff Trimarchi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRsJihoon Kim, Janice M Grillo, Aziz A Boxwala, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Knowledge and Data Engineering|March 5, 2011
Spectral Anonymization of DataThomas A Lasko, Staal A Vinterbo
BMC Bioinformatics|January 13, 2006
Approximation properties of haplotype taggingStaal A Vinterbo, Stephan Dreiseitl, Lucila Ohno-Machado
Artificial Intelligence in Medicine|July 10, 2003
An Epicurean learning approach to gene-expression data classificationAndreas Albrecht, Staal A Vinterbo, Lucila Ohno-Machado
Journal of the American Medical Informatics Association : JAMIA|April 19, 2012
Protecting count queries in study designStaal A Vinterbo, Anand D Sarwate, Aziz A Boxwala
Bioinformatics (Oxford, England)|January 22, 2005
Small, fuzzy and interpretable gene expression based classifiersStaal A Vinterbo, Eun-Young Kim, Lucila Ohno-Machado
The Lancet. Infectious Diseases|April 12, 2014
Ensuring privacy in the study of pathogen geneticsSanjay R Mehta, Staal A Vinterbo, Susan J Little
Journal of Public Health Research|January 2, 2018
Perceptions of molecular epidemiology studies of HIV among stakeholdersCynthia Schairer, Sanjay R Mehta, Staal A Vinterbo, et al.
AJOB Empirical Bioethics|May 4, 2019
Trust and Expectations of Researchers and Public Health Departments for the Use of HIV Molecular EpidemiologyCynthia E Schairer, Sanjay R Mehta, Staal A Vinterbo, et al.
Journal of Biomedical Informatics|October 7, 2004
A primer on gene expression and microarrays for machine learning researchersWinston Patrick Kuo, Eun-Young Kim, Jeff Trimarchi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRsJihoon Kim, Janice M Grillo, Aziz A Boxwala, et al.
Pageof 2