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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Improving classification performance with discretization on biomedical datasets
Jonathan L Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, et al.
BMC Bioinformatics
|
July 30, 2011
Application of an efficient Bayesian discretization method to biomedical data
Jonathan L Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
December 5, 2013
An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling
Charalampos S Floudas, Jeya Balaji Balasubramanian, Marjorie Romkes, et al.
Data
|
March 24, 2017
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure
Jonathan Lyle Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
February 27, 2015
Selective model averaging with bayesian rule learning for predictive biomedicine
Jeya B Balasubramanian, Shyam Visweswaran, Gregory F Cooper, et al.
Bioinformatics (Oxford, England)
|
January 19, 2010
Bayesian rule learning for biomedical data mining
Vanathi Gopalakrishnan, Jonathan L Lustgarten, Shyam Visweswaran, et al.
Acta Crystallographica. Section D, Biological Crystallography
|
September 25, 2004
Machine-learning techniques for macromolecular crystallization data
Vanathi Gopalakrishnan, Gary Livingston, Daniel Hennessy, et al.
Journal of Pathology Informatics
|
May 27, 2014
Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics
Joyeeta Dutta-Moscato, Vanathi Gopalakrishnan, Michael T Lotze, et al.
Plos One
|
August 6, 2019
Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models
Yuzhe Liu, Jody Manners, Yazan Bittar, et al.
BMC Bioinformatics
|
September 19, 2009
Knowledge-based variable selection for learning rules from proteomic data
Jonathan L Lustgarten, Shyam Visweswaran, Robert P Bowser, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 43) with videos related to
Sort By:
Page
of 5
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
November 13, 2008
Improving classification performance with discretization on biomedical datasets
Jonathan L Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, et al.
BMC Bioinformatics
|
July 30, 2011
Application of an efficient Bayesian discretization method to biomedical data
Jonathan L Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
December 5, 2013
An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling
Charalampos S Floudas, Jeya Balaji Balasubramanian, Marjorie Romkes, et al.
Data
|
March 24, 2017
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure
Jonathan Lyle Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
February 27, 2015
Selective model averaging with bayesian rule learning for predictive biomedicine
Jeya B Balasubramanian, Shyam Visweswaran, Gregory F Cooper, et al.
Bioinformatics (Oxford, England)
|
January 19, 2010
Bayesian rule learning for biomedical data mining
Vanathi Gopalakrishnan, Jonathan L Lustgarten, Shyam Visweswaran, et al.
Acta Crystallographica. Section D, Biological Crystallography
|
September 25, 2004
Machine-learning techniques for macromolecular crystallization data
Vanathi Gopalakrishnan, Gary Livingston, Daniel Hennessy, et al.
Journal of Pathology Informatics
|
May 27, 2014
Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics
Joyeeta Dutta-Moscato, Vanathi Gopalakrishnan, Michael T Lotze, et al.
Plos One
|
August 6, 2019
Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models
Yuzhe Liu, Jody Manners, Yazan Bittar, et al.
BMC Bioinformatics
|
September 19, 2009
Knowledge-based variable selection for learning rules from proteomic data
Jonathan L Lustgarten, Shyam Visweswaran, Robert P Bowser, et al.
Page
of 5