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International Journal of Cardiology. Hypertension
|
January 15, 2021
Uses and opportunities for machine learning in hypertension research
Dhammika Amaratunga, Javier Cabrera, Davit Sargsyan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
June 15, 2007
A consolidated approach to analyzing data from high-throughput protein microarrays with an application to immune response profiling in humans
Mariusz Lubomirski, Michael R D'Andrea, Stanley M Belkowski, et al.
BMC Neurology
|
January 19, 2011
Types of the cerebral arterial circle (circle of Willis) in a Sri Lankan population
K Ranil D De Silva, Rukmal Silva, Dhammika Amaratunga, et al.
Biotechniques
|
June 2, 2009
Nanoliter high-throughput RT-qPCR: a statistical analysis and assessment
James M Dixon, Mariusz Lubomirski, Dhammika Amaratunga, et al.
Bioinformatics (Oxford, England)
|
October 9, 2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data
Willem Talloen, Djork-Arné Clevert, Sepp Hochreiter, et al.
Bioinformatics (Oxford, England)
|
September 26, 2007
The high-level similarity of some disparate gene expression measures
Nandini Raghavan, An M I M De Bondt, Willem Talloen, et al.
Pharmacogenomics
|
June 13, 2015
Release of (and lessons learned from mining) a pioneering large toxicogenomics database
Komal S Sandhu, Vamsi Veeramachaneni, Xiang Yao, et al.
Journal of Biopharmaceutical Statistics
|
April 12, 2025
Quasi-Empirical Bayes methods for parameter estimation involving many small samples
Kanaka Tatikola, Javier Cabrera, Chun Pang Lin, et al.
Statistical Applications in Genetics and Molecular Biology
|
March 4, 2010
Informative or noninformative calls for gene expression: a latent variable approach
Adetayo Kasim, Dan Lin, Suzy Van Sanden, et al.
Journal of Applied Microbiology
|
September 25, 2025
Development of multiple microbiome biomarkers using penalized regression methods
Thi Huyen Nguyen, Ibrahim Hamad, Markus Kleinewietfeld, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
International Journal of Cardiology. Hypertension
|
January 15, 2021
Uses and opportunities for machine learning in hypertension research
Dhammika Amaratunga, Javier Cabrera, Davit Sargsyan, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
June 15, 2007
A consolidated approach to analyzing data from high-throughput protein microarrays with an application to immune response profiling in humans
Mariusz Lubomirski, Michael R D'Andrea, Stanley M Belkowski, et al.
BMC Neurology
|
January 19, 2011
Types of the cerebral arterial circle (circle of Willis) in a Sri Lankan population
K Ranil D De Silva, Rukmal Silva, Dhammika Amaratunga, et al.
Biotechniques
|
June 2, 2009
Nanoliter high-throughput RT-qPCR: a statistical analysis and assessment
James M Dixon, Mariusz Lubomirski, Dhammika Amaratunga, et al.
Bioinformatics (Oxford, England)
|
October 9, 2007
I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data
Willem Talloen, Djork-Arné Clevert, Sepp Hochreiter, et al.
Bioinformatics (Oxford, England)
|
September 26, 2007
The high-level similarity of some disparate gene expression measures
Nandini Raghavan, An M I M De Bondt, Willem Talloen, et al.
Pharmacogenomics
|
June 13, 2015
Release of (and lessons learned from mining) a pioneering large toxicogenomics database
Komal S Sandhu, Vamsi Veeramachaneni, Xiang Yao, et al.
Journal of Biopharmaceutical Statistics
|
April 12, 2025
Quasi-Empirical Bayes methods for parameter estimation involving many small samples
Kanaka Tatikola, Javier Cabrera, Chun Pang Lin, et al.
Statistical Applications in Genetics and Molecular Biology
|
March 4, 2010
Informative or noninformative calls for gene expression: a latent variable approach
Adetayo Kasim, Dan Lin, Suzy Van Sanden, et al.
Journal of Applied Microbiology
|
September 25, 2025
Development of multiple microbiome biomarkers using penalized regression methods
Thi Huyen Nguyen, Ibrahim Hamad, Markus Kleinewietfeld, et al.
Page
of 4