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Mark Kon

Showing results (11-20 of 21) with videos related to

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Biology Direct|June 20, 2008
In silico regulatory analysis for exploring human disease progressionDustin T Holloway, Mark Kon, Charles DeLisi
Systems and Synthetic Biology|November 13, 2008
Machine learning for regulatory analysis and transcription factor target prediction in yeastDustin T Holloway, Mark Kon, Charles Delisi
BMC Medical Genomics|August 11, 2011
Combinations of newly confirmed Glioma-Associated loci link regions on chromosomes 1 and 9 to increased disease riskTun-Hsiang Yang, Mark Kon, Jui-Hung Hung, et al.
The Analyst|November 9, 2018
Optimizing decision tree structures for spectral histopathology (SHP)Xinying Mu, Stan Remiszewski, Mark Kon, et al.
Computers & Mathematics with Applications (Oxford, England : 1987)|January 22, 2026
Analytic regularity of strong solutions for the complexified stochastic nonlinear Poisson-Boltzmann EquationBrian Choi, Jie Xu, Trevor Norton, et al.
Numerische Mathematik|January 26, 2026
Complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domainsTrevor Norton, Jie Xu, Brian Choi, et al.
Arxiv|February 12, 2024
Uncertainty quantification of receptor ligand binding sites predictionNanjie Chen, Dongliang Yu, Dmitri Beglov, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|July 4, 2012
Infrared spectral histopathology (SHP): a novel diagnostic tool for the accurate classification of lung cancerBenjamin Bird, Milo Sbreve Miljković, Stan Remiszewski, et al.
Sensors (Basel, Switzerland)|September 21, 2016
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's PatientsAndrzej W Przybyszewski, Mark Kon, Stanislaw Szlufik, et al.
The Analyst|February 10, 2015
Statistical analysis of a lung cancer spectral histopathology (SHP) data setXinying Mu, Mark Kon, Ayşegül Ergin, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Biology Direct|June 20, 2008
In silico regulatory analysis for exploring human disease progressionDustin T Holloway, Mark Kon, Charles DeLisi
Systems and Synthetic Biology|November 13, 2008
Machine learning for regulatory analysis and transcription factor target prediction in yeastDustin T Holloway, Mark Kon, Charles Delisi
BMC Medical Genomics|August 11, 2011
Combinations of newly confirmed Glioma-Associated loci link regions on chromosomes 1 and 9 to increased disease riskTun-Hsiang Yang, Mark Kon, Jui-Hung Hung, et al.
The Analyst|November 9, 2018
Optimizing decision tree structures for spectral histopathology (SHP)Xinying Mu, Stan Remiszewski, Mark Kon, et al.
Computers & Mathematics with Applications (Oxford, England : 1987)|January 22, 2026
Analytic regularity of strong solutions for the complexified stochastic nonlinear Poisson-Boltzmann EquationBrian Choi, Jie Xu, Trevor Norton, et al.
Numerische Mathematik|January 26, 2026
Complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domainsTrevor Norton, Jie Xu, Brian Choi, et al.
Arxiv|February 12, 2024
Uncertainty quantification of receptor ligand binding sites predictionNanjie Chen, Dongliang Yu, Dmitri Beglov, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|July 4, 2012
Infrared spectral histopathology (SHP): a novel diagnostic tool for the accurate classification of lung cancerBenjamin Bird, Milo Sbreve Miljković, Stan Remiszewski, et al.
Sensors (Basel, Switzerland)|September 21, 2016
Multimodal Learning and Intelligent Prediction of Symptom Development in Individual Parkinson's PatientsAndrzej W Przybyszewski, Mark Kon, Stanislaw Szlufik, et al.
The Analyst|February 10, 2015
Statistical analysis of a lung cancer spectral histopathology (SHP) data setXinying Mu, Mark Kon, Ayşegül Ergin, et al.
Pageof 3