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Jung Hun Oh

Showing results (1-10 of 131) with videos related to

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BMC Bioinformatics|May 12, 2009
A kernel-based approach for detecting outliers of high-dimensional biological dataJung Hun Oh, Jean Gao
International Journal of Molecular Sciences|June 24, 2022
Editorial of Special Issue "Deep Learning and Machine Learning in Bioinformatics"Mingon Kang, Jung Hun Oh
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 19, 2010
Fast kernel discriminant analysis for classification of liver cancer mass spectraJung Hun Oh, Jean Gao
Computers in Biology and Medicine|February 1, 2014
SITDEM: a simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypesJung Hun Oh, Joseph O Deasy
BMC Bioinformatics|August 1, 2014
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithmJung Hun Oh, Joseph O Deasy
Briefings in Bioinformatics|July 30, 2015
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancerJung Hun Oh, Joseph O Deasy
Medical Physics|October 1, 2010
Adaptive learning for relevance feedback: application to digital mammographyJung Hun Oh, Yongyi Yang, Issam El Naqa
BMC Medical Genomics|December 14, 2020
Identification of biological correlates associated with respiratory failure in COVID-19Jung Hun Oh, Allen Tannenbaum, Joseph O Deasy
Frontiers in Genetics|August 2, 2023
Improved prediction of drug-induced liver injury literature using natural language processing and machine learning methodsJung Hun Oh, Allen Tannenbaum, Joseph O Deasy
Rapid Communications in Mass Spectrometry : RCM|January 14, 2010
MSQ: a tool for quantification of proteomics data generated by a liquid chromatography/matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry based targeted quantitative proteomics platformJung Hun Oh, Sheng Pan, Jing Zhang, et al.
Pageof 14

Showing results (1-10 of 131) with videos related to

Sort By:
Pageof 14
BMC Bioinformatics|May 12, 2009
A kernel-based approach for detecting outliers of high-dimensional biological dataJung Hun Oh, Jean Gao
International Journal of Molecular Sciences|June 24, 2022
Editorial of Special Issue "Deep Learning and Machine Learning in Bioinformatics"Mingon Kang, Jung Hun Oh
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 19, 2010
Fast kernel discriminant analysis for classification of liver cancer mass spectraJung Hun Oh, Jean Gao
Computers in Biology and Medicine|February 1, 2014
SITDEM: a simulation tool for disease/endpoint models of association studies based on single nucleotide polymorphism genotypesJung Hun Oh, Joseph O Deasy
BMC Bioinformatics|August 1, 2014
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithmJung Hun Oh, Joseph O Deasy
Briefings in Bioinformatics|July 30, 2015
A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancerJung Hun Oh, Joseph O Deasy
Medical Physics|October 1, 2010
Adaptive learning for relevance feedback: application to digital mammographyJung Hun Oh, Yongyi Yang, Issam El Naqa
BMC Medical Genomics|December 14, 2020
Identification of biological correlates associated with respiratory failure in COVID-19Jung Hun Oh, Allen Tannenbaum, Joseph O Deasy
Frontiers in Genetics|August 2, 2023
Improved prediction of drug-induced liver injury literature using natural language processing and machine learning methodsJung Hun Oh, Allen Tannenbaum, Joseph O Deasy
Rapid Communications in Mass Spectrometry : RCM|January 14, 2010
MSQ: a tool for quantification of proteomics data generated by a liquid chromatography/matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry based targeted quantitative proteomics platformJung Hun Oh, Sheng Pan, Jing Zhang, et al.
Pageof 14