Category / Byunghan Lee
MUGAN: Multi-GPU Accelerated AmpliconNoise Server for Rapid Microbial Diversity Assessment
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction
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
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.