Seyoon Ko
Zitiert von
Zitiert von
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
OpenMendel: a cooperative programming project for statistical genetics
H Zhou, JS Sinsheimer, DM Bates, BB Chu, CA German, SS Ji, KL Keys, ...
Human genetics 139, 61-71, 2020
High-performance statistical computing in the computing environments of the 2020s
S Ko, H Zhou, JJ Zhou, JH Won
Statistical Science 37 (4), 494-518, 2022
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
Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
S Ko, GX Li, H Choi, JH Won
Briefings in bioinformatics 22 (6), bbab256, 2021
DistStat. jl: Towards unified programming for high-performance statistical computing environments in Julia
S Ko, H Zhou, J Zhou, JH Won
arXiv preprint arXiv:2010.16114, 2020
Processing large-scale data with Apache Spark
S Ko, JH Won
Korean Journal of Applied Statistics 29 (6), 1077-1094, 2016
A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute. jl
BB Chu, EM Sobel, R Wasiolek, S Ko, JS Sinsheimer, H Zhou, K Lange
Bioinformatics 37 (24), 4756-4763, 2021
Splitting with near-circulant linear systems: Applications to total variation CT and PET
EK Ryu, S Ko, JH Won
SIAM Journal on Scientific Computing 42 (1), B185-B206, 2020
Systematic heritability and heritability enrichment analysis for diabetes complications in UK biobank and ACCORD studies
J Kim, A Jensen, S Ko, S Raghavan, LS Phillips, A Hung, Y Sun, H Zhou, ...
Diabetes 71 (5), 1137-1148, 2022
GWAS of longitudinal trajectories at biobank scale
S Ko, CA German, A Jensen, J Shen, A Wang, DV Mehrotra, YV Sun, ...
The American Journal of Human Genetics 109 (3), 433-445, 2022
VCSEL: Prioritizing SNP-set by penalized variance component selection
J Kim, J Shen, A Wang, DV Mehrotra, S Ko, JJ Zhou, H Zhou
The annals of applied statistics 15 (4), 1652, 2021
SnpArrays. jl: Julia package for compressed storage of SNP data
H Zhou, JC Papp, S Ko, CA German, J Day, MA Suchard, A Landeros, ...
Zenodo, 2020
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
Supplement to “VCSEL: Prioritizing SNP-set by penalized variance component selection.”
J Kim, J Shen, A Wang, DV Mehrotra, S Ko, JJ Zhou, H Zhou
Multivariate Genomewide Association Analysis with IHT
BB Chu, S Ko, JJ Zhou, H Zhou, JS Sinsheimer, K Lange
bioRxiv, 2021
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
Unsupervised discovery of ancestry-informative markers and genetic admixture proportions in biobank-scale datasets
S Ko, BB Chu, D Peterson, C Okenwa, JC Papp, DH Alexander, EM Sobel, ...
The American Journal of Human Genetics, 2023
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