Seyoon Ko
Seyoon Ko
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TitleCited byYear
Recurrent fusion transcripts detected by whole‐transcriptome sequencing of 120 primary breast cancer samples
J Kim, S Kim, S Ko, Y In, HG Moon, SK Ahn, MK Kim, M Lee, JH Hwang, ...
Genes, Chromosomes and Cancer 54 (11), 681-691, 2015
Revealing fundamental physics from the Daya Bay Neutrino Experiment using deep neural networks
E Racah, S Ko, P Sadowski, W Bhimji, C Tull, SY Oh, P Baldi
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
Uvrag targeting by Mir125a and Mir351 modulates autophagy associated with Ewsr1 deficiency
Y Kim, YS Kang, NY Lee, KY Kim, YJ Hwang, HW Kim, IJ Rhyu, S Her, ...
Autophagy 11 (5), 796-811, 2015
Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration
S Ko, D Yu, JH Won
Journal of Computational and Graphical Statistics, 1-42, 2019
OpenMendel: a cooperative programming project for statistical genetics
H Zhou, JS Sinsheimer, DM Bates, BB Chu, CA German, SS Ji, KL Keys, ...
Human genetics, 1-11, 2019
Processing large-scale data with Apache Spark
S Ko, JH Won
Korean Journal of Applied Statistics 29 (6), 1077-1094, 2016
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
S Ko, JH Won
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Splitting with Near-Circulant Linear Systems: Applications to Total Variation CT and PET
EK Ryu, S Ko, JH Won
arXiv preprint arXiv:1810.13100, 2018
Exploring Raw HEP Data using Deep Neural Networks at NERSC
W Bhimji, E Racah, S Ko, P Sadowski, C Tull, SY Oh
38th International Conference on High Energy Physics 282, 889, 2017
HyperConv: spatio-spectral classification of hyperspectral images with deep convolutional neural networks
S Ko, G Jun, JH Won
Korean Journal of Applied Statistics 29 (5), 859-872, 2016
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Articles 1–10