Category / Taesup Moon

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

Regularization and Kernelization of the Maximin Correlation Approach

Taehoon Lee, Taesup Moon, Seung Jean Kim, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1385-1392, April 2016.
paper  link  code  arXiv

28 March 2016
Journal, Seung Jean Kim, Sungroh Yoon, Taehoon Lee, Taesup Moon

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