Category / Seunghyun Park
Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study
Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Tae Jin Kim, In Jae Lee, Jin-Nyoung Ho, Sungroh Yoon, and Seok-Soo Byun, Oncotarget, in press.
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hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction
Seunghyun Park, Hyun-soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, in press.
preprint link
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks
Byunghan Lee, Junghwan Baek, Seunghyun Park, and Sungroh Yoon, in Proceedings of the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 434-442, Seattle, USA, October 2016.
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Genome-wide detection of allelic genetic variation to predict biochemical recurrence after radical prostatectomy among prostate cancer patients using an exome SNP chip
Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Hak Min Lee, Jung Keun Lee, Jin-Nyoung Ho, Sungroh Yoon, and Seok-Soo Byun, Journal of Cancer Research and Clinical Oncology, vol. 141, no. 8, pp. 1493-1501, August 2015.
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The Use of Exome Genotyping to Predict Pathological Gleason Score Upgrade after Radical Prostatectomy in Low-Risk Prostate Cancer Patients
Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Gheeyoung Choe, Sungroh Yoon, and Seok-soo Byun, PLOS ONE, vol. 9, no. 8, e104146, August 2014.
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In-Depth Analysis of Interrelation between Quality Scores and Real Errors in Illumina Reads
Sunyoung Kwon, Seunghyun Park, Byunghan Lee, and Sungroh Yoon, in Proceedings of IEEE 35th Annual International Conference on Engineering in Medicine and Biology, Osaka, Japan, July 2013.
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