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Experimental & Molecular Medicine|February 24, 2010
Got target? Computational methods for microRNA target prediction and their extensionHyeyoung Min, Sungroh YoonBriefings in Bioinformatics|September 3, 2015
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyondSungmin Lee, Hyeyoung Min, Sungroh YoonBioinformatics (Oxford, England)|February 24, 2018
MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessmentByunghan Lee, Hyeyoung Min, Sungroh YoonBMC Bioinformatics|November 20, 2009
Nonlinear preprocessing method for detecting peaks from gas chromatogramsByonghyo Shim, Hyeyoung Min, Sungroh YoonMethods (San Diego, Calif.)|August 5, 2014
Ensemble learning can significantly improve human microRNA target predictionSeunghak Yu, Juho Kim, Hyeyoung Min, et al.Archives of Virology|December 14, 2011
vHoT: a database for predicting interspecies interactions between viral microRNA and host genomesHanjoo Kim, Seunghyun Park, Hyeyoung Min, et al.IEEE Transactions on Bio-Medical Engineering|February 5, 2011
Constructing accurate contact maps for hydroxyl-radical-cleavage-based high-throughput RNA structure inferenceJinkyu Kim, Hanjoo Kim, Hyeyoung Min, et al.Archives of Pharmacal Research|October 15, 2010
Support vector machine based classification of 3-dimensional protein physicochemical environments for automated function annotationHyeyoung Min, Seunghak Yu, Taehoon Lee, et al.Methods (San Diego, Calif.)|March 22, 2017
Machine learning-based identification of endogenous cellular microRNA sponges against viral microRNAsSoowon Kang, Seunghyun Park, Sungroh Yoon, et al.Biochemical and Biophysical Research Communications|August 20, 2010
Application of maximin correlation analysis to classifying protein environments for function predictionTaehoon Lee, Hyeyoung Min, Seung Jean Kim, et al.Pageof 15