Byunghan Lee – Data Science & Artificial Intelligence Laboratory

Category / Byunghan Lee

NASCUP: Nucleic Acid Sequence Classification by Universal Probability

Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, and Young-Han Kim, IEEE Access, in press. [A preliminary version appeared in 2016 RECOMB-Seq (Massively Parallel Sequencing), Los Angeles, USA, April 2016]
preprint suppl arXiv

01 December 2021

-NASCUP, Byunghan Lee, Gyuwan Kim, Journal, Sungroh Yoon, Sunyoung Kwon

MUGAN: Multi-GPU Accelerated AmpliconNoise Server for Rapid Microbial Diversity Assessment

Byunghan Lee, Hyeyoung Min, and Sungroh Yoon, Bioinformatics, vol. 37, no. 11, pp. 1562-1570, June 2021.
paper link

01 June 2021

Byunghan Lee, Hyeyoung Min, Journal, Sungroh Yoon

LncRNAnet: Long Noncoding RNA Identification using Deep Learning

Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, Bioinformatics, vol. 34, no. 22, pp. 3889-3897, November 2018.
paper link

15 November 2018

Byunghan Lee, Journal, Junghwan Baek, Sungroh Yoon, Sunyoung Kwon

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, vol. 15, no. 2, pp. 441-451, March/April 2018.
paper link

01 March 2018

Byunghan Lee, Hyunsoo Choi, Journal, Seunghyun Park

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

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

Neural Universal Discrete Denoiser

Taesup Moon, Seonwoo Min, Byunghan Lee, and Sungroh Yoon, in Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
preprint suppl link

01 November 2016

Byunghan Lee, Conference, Seonwoo Min, Sungroh Yoon, Taesup Moon

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.
paper code

14 July 2016

Byunghan Lee, Conference, Junghwan Baek, Seunghyun Park, Sungroh Yoon

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1266-1273, March 2016.
paper link

21 March 2016

Byunghan Lee, Hyunsoo Choi, Journal, Sungroh Yoon

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Taehoon Lee, Byunggook Na, and Sungroh Yoon, in NIPS Workshop on Machine Learning in Computational Biology/Systems Biology, Montreal, Canada, December 2015.
paper link

22 December 2015

Byunggook Na, Byunghan Lee, Conference, Sungroh Yoon, Taehoon Lee