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Byunghan Lee

Showing results (1-10 of 12) with videos related to

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BMC Bioinformatics|September 26, 2014
CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencingSunyoung Kwon, Byunghan Lee, Sungroh Yoon
Bioinformatics (Oxford, England)|October 22, 2021
TargetNet: functional microRNA target prediction with deep neural networksSeonwoo Min, Byunghan Lee, Sungroh Yoon
Bioinformatics (Oxford, England)|February 24, 2018
MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessmentByunghan Lee, Hyeyoung Min, Sungroh Yoon
Briefings in Bioinformatics|July 31, 2016
Deep learning in bioinformaticsSeonwoo Min, Byunghan Lee, Sungroh Yoon
Plos One|July 28, 2017
DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencingByunghan Lee, Taesup Moon, Sungroh Yoon, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
DNA Steganalysis Using Deep Recurrent Neural NetworksHo Bae, Byunghan Lee, Sunyoung Kwon, et al.
Bioinformatics (Oxford, England)|June 1, 2018
LncRNAnet: long non-coding RNA identification using deep learningJunghwan Baek, Byunghan Lee, Sunyoung Kwon, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
In-depth analysis of interrelation between quality scores and real errors in Illumina readsSunyoung Kwon, Seunghyun Park, Byunghan Lee, et al.
ACS Omega|February 14, 2022
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property PredictionJeonghee Jo, Bumju Kwak, Byunghan Lee, et al.
Plos One|May 18, 2021
Protein transfer learning improves identification of heat shock protein familiesSeonwoo Min, HyunGi Kim, Byunghan Lee, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|September 26, 2014
CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencingSunyoung Kwon, Byunghan Lee, Sungroh Yoon
Bioinformatics (Oxford, England)|October 22, 2021
TargetNet: functional microRNA target prediction with deep neural networksSeonwoo Min, Byunghan Lee, Sungroh Yoon
Bioinformatics (Oxford, England)|February 24, 2018
MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessmentByunghan Lee, Hyeyoung Min, Sungroh Yoon
Briefings in Bioinformatics|July 31, 2016
Deep learning in bioinformaticsSeonwoo Min, Byunghan Lee, Sungroh Yoon
Plos One|July 28, 2017
DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencingByunghan Lee, Taesup Moon, Sungroh Yoon, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
DNA Steganalysis Using Deep Recurrent Neural NetworksHo Bae, Byunghan Lee, Sunyoung Kwon, et al.
Bioinformatics (Oxford, England)|June 1, 2018
LncRNAnet: long non-coding RNA identification using deep learningJunghwan Baek, Byunghan Lee, Sunyoung Kwon, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
In-depth analysis of interrelation between quality scores and real errors in Illumina readsSunyoung Kwon, Seunghyun Park, Byunghan Lee, et al.
ACS Omega|February 14, 2022
Flexible Dual-Branched Message-Passing Neural Network for a Molecular Property PredictionJeonghee Jo, Bumju Kwak, Byunghan Lee, et al.
Plos One|May 18, 2021
Protein transfer learning improves identification of heat shock protein familiesSeonwoo Min, HyunGi Kim, Byunghan Lee, et al.
Pageof 2