| 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 | 84 | 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 | 41 | 2016 |
| 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 | 38 | 2020 |
| 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 | 31 | 2015 |
| 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 | 16 | 2022 |
| High-performance statistical computing in the computing environments of the 2020s S Ko, H Zhou, JJ Zhou, JH Won Statistical science: a review journal of the Institute of Mathematical …, 2022 | 12 | 2022 |
| 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 | 11 | 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 | 11 | 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 | 5 | 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 | 5 | 2020 |
| Processing large-scale data with Apache Spark S Ko, JH Won Korean Journal of Applied Statistics 29 (6), 1077-1094, 2016 | 5 | 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 | 4 | 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 | 4 | 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 | 4 | 2019 |
| 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 | 3 | 2021 |
| 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 110 (2), 314-325, 2023 | 1 | 2023 |
| 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 | 1 | 2021 |
| Multivariate Genomewide Association Analysis with IHT BB Chu, S Ko, JJ Zhou, H Zhou, JS Sinsheimer, K Lange bioRxiv, 2021 | 1 | 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 | 1* | 2016 |
| Multivariate genome-wide association analysis by iterative hard thresholding BB Chu, S Ko, JJ Zhou, A Jensen, H Zhou, JS Sinsheimer, K Lange Bioinformatics 39 (4), btad193, 2023 | | 2023 |
Hua ZhouDepartments of Biostatistics and Computational Medicine, UCLA在 ucla.edu 的电子邮件经过验证
