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Deep Learning in Bioinformatics

Seonwoo Min, Byunghan Lee, and Sungroh Yoon, Briefings in Bioinformatics, vol. 18, no. 5, pp. 851-869, September 2017.
paper  link  arXiv

01 September 2017
Byunghan Lee, Journal, Seonwoo Min, Sungroh Yoon

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

Sunyoung Kwon and Sungroh Yoon, in Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Boston, USA, August 2017.
preprint  link  arXiv

20 August 2017
Conference, Sungroh Yoon, Sunyoung Kwon

DUDE-Seq: Fast, Flexible, and Robust Denoising for Targeted Amplicon Sequencing

Byunghan Lee, Taesup Moon, Sungroh Yoon, and Tsachy Weissman, PLOS ONE, 12(7):e0181463, July 2017.
paper  link  arXiv  suppl

03 July 2017
-DUDESEQ, Byunghan Lee, Journal, Sungroh Yoon, Taesup Moon, Tsachy Weissman

Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features

Eunsun Oh, Sung Wook Seo, Young Cheol Yoon, Dong Wook Kim, Sunyoung Kwon, Sungroh Yoon, Journal of Orthopaedic Surgery, vol. 25, no. 2, pp. 1-7, June 2017.
paper  link

29 June 2017
Journal, Sungroh Yoon

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning

Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon, arXiv:1706.09200 [cs.IR], June 2017.
paper  link

09 June 2017
arXiv, Sungroh Yoon

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, vol. 8, no. 44, pp. 75979-75988, May 2017.
paper  link

26 May 2017
Jin-Nyoung Ho, JongJin Oh, Journal, Sangchul Lee, SangEun Lee, Seok-Soo Byun, Seunghyun Park, SungKyu Hong, Sungroh Yoon

Building a Neural Machine Translation System Using Only Synthetic Parallel Data

Jaehong Park, Byunggook Na, and Sungroh Yoon, arXiv:1704.00253 [cs.CL], April 2017.
paper  link

17 May 2017
arXiv, Byunggook Na, Jaehong Park, Sungroh Yoon

Near-Data Processing for Differentiable Machine Learning Models

Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung, and Sungroh Yoon, in Proceedings of the 33rd International Conference on Massive Storage Systems and Technology (MSST), Santa Clara, USA, May 2017.
paper  link

15 May 2017
Conference, Eui-Young Chung, Hyeokjun Choe, Seijoon Kim, Seongsik Park, Sungroh Yoon

An Effective Pre-Store/Pre-Load Method Exploiting Intra-Request Idle Time of NAND Flash-Based Storage Devices

Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung, Microprocessors and Microsystems, vol. 50, pp. 222-236, May 2017.
paper  link

01 May 2017
Eui-Young Chung, Hyeokjun Seo, Jin-Young Kim, Journal, Sungroh Yoon

NC-link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data

Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, and Sungroh Yoon, IEEE Access, vol. 5, no. 1, pp. 5594-5608, April 2017
paper  link

04 April 2017
Jaeyoon Yoo, Jongsun Lee, Journal, Sungroh Yoon, Yongkweon Jeon
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