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International Journal of Public Health
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November 8, 2021
Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria
Elisabetta Manduchi, Jason H Moore
Biorxiv : the Preprint Server for Biology
|
September 5, 2025
Development of an Application Ontology for Beta Cell Genomics Based On the Ontology for Biomedical Investigations
Jie Zheng, Elisabetta Manduchi, Christian J Stoeckert
Bioinformatics (Oxford, England)
|
December 23, 2008
Matching methods for observational microarray studies
Ruth Heller, Elisabetta Manduchi, Dylan S Small
Human Genetics
|
October 29, 2021
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D Romano, Jason H Moore
Current Protocols in Molecular Biology
|
February 12, 2008
Analysis and management of microarray gene expression data
Gregory R Grant, Elisabetta Manduchi, Christian J Stoeckert
Bioinformatics (Oxford, England)
|
February 14, 2009
A flexible two-stage procedure for identifying gene sets that are differentially expressed
Ruth Heller, Elisabetta Manduchi, Gregory R Grant, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 26, 2021
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection
Elisabetta Manduchi, Trang T Le, Weixuan Fu, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 14, 2010
MicroRNA-10a regulation of proinflammatory phenotype in athero-susceptible endothelium in vivo and in vitro
Yun Fang, Congzhu Shi, Elisabetta Manduchi, et al.
Biodata Mining
|
July 20, 2019
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies
Elisabetta Manduchi, Patryk R Orzechowski, Marylyn D Ritchie, et al.
Circulation Research
|
March 12, 2005
Spatial heterogeneity of endothelial phenotypes correlates with side-specific vulnerability to calcification in normal porcine aortic valves
Craig A Simmons, Gregory R Grant, Elisabetta Manduchi, et al.
Page
of 7
Search research articles
Search
Showing results (1-10 of 70) with videos related to
Sort By:
Page
of 7
International Journal of Public Health
|
November 8, 2021
Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria
Elisabetta Manduchi, Jason H Moore
Biorxiv : the Preprint Server for Biology
|
September 5, 2025
Development of an Application Ontology for Beta Cell Genomics Based On the Ontology for Biomedical Investigations
Jie Zheng, Elisabetta Manduchi, Christian J Stoeckert
Bioinformatics (Oxford, England)
|
December 23, 2008
Matching methods for observational microarray studies
Ruth Heller, Elisabetta Manduchi, Dylan S Small
Human Genetics
|
October 29, 2021
The promise of automated machine learning for the genetic analysis of complex traits
Elisabetta Manduchi, Joseph D Romano, Jason H Moore
Current Protocols in Molecular Biology
|
February 12, 2008
Analysis and management of microarray gene expression data
Gregory R Grant, Elisabetta Manduchi, Christian J Stoeckert
Bioinformatics (Oxford, England)
|
February 14, 2009
A flexible two-stage procedure for identifying gene sets that are differentially expressed
Ruth Heller, Elisabetta Manduchi, Gregory R Grant, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
July 26, 2021
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection
Elisabetta Manduchi, Trang T Le, Weixuan Fu, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
July 14, 2010
MicroRNA-10a regulation of proinflammatory phenotype in athero-susceptible endothelium in vivo and in vitro
Yun Fang, Congzhu Shi, Elisabetta Manduchi, et al.
Biodata Mining
|
July 20, 2019
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies
Elisabetta Manduchi, Patryk R Orzechowski, Marylyn D Ritchie, et al.
Circulation Research
|
March 12, 2005
Spatial heterogeneity of endothelial phenotypes correlates with side-specific vulnerability to calcification in normal porcine aortic valves
Craig A Simmons, Gregory R Grant, Elisabetta Manduchi, et al.
Page
of 7