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Enhanced construction of gene regulatory networks using hub gene information

BMC bioinformatics, 2017-03, Vol.18 (1), p.186, Article 186

2017

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Segmentation of binary sequence via minimizing least square error with total variation regularization

Communications for statistical applications and methods, 2024-09, Vol.31 (5), p.487-496

2024

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Improved control chart for statistical process control using combined X and delayed EWMA statistics

Journal of the Korean Statistical Society, 2023, 52(4), , pp.944-959

2023

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Estimation of the case fatality rate based on stratification for the COVID-19 outbreak

PloS one, 2021-02, Vol.16 (2), p.e0246921-e0246921

2021

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Goodness-of-fit testing for meta-analysis of rare binary events

Scientific reports, 2023-10, Vol.13 (1), p.17712-17712, Article 17712

2023

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Condition-number-regularized covariance estimation

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2013-06, Vol.75 (3), p.427-450

2013

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Asymptotic of the number of false change points of the fused lasso signal approximator

Journal of the Korean Statistical Society, 2024, 53(2), , pp.381-397

2024

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Efficacy and safety of intravenous and subcutaneous immunoglobulin therapy in idiopathic inflammatory myopathy: A systematic review and meta-analysis

Autoimmunity reviews, 2022-02, Vol.21 (2), p.102997, Article 102997

2022

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Metabolic response induced by parasitic plant-fungus interactions hinder amino sugar and nucleotide sugar metabolism in the host

Scientific reports, 2016-11, Vol.6 (1), p.37434-37434, Article 37434

2016

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Testing independence of bivariate censored data using random walk on restricted permutation graph

Journal of the Korean Statistical Society, 2023, 52(2), , pp.395-419

2023

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Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis

Experimental and Molecular Medicine, 2022, 54(0), , pp.1-13

2022

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Intravenous immunoglobulins as first-line treatment in idiopathic inflammatory myopathies: a pilot study

Rheumatology (Oxford, England), 2021-04, Vol.60 (4), p.1784-1792

2021

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High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer

International journal of molecular sciences, 2019-01, Vol.20 (2), p.296

2019

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Image Segmentation Using Hidden Markov Gauss Mixture Models

IEEE transactions on image processing, 2007-07, Vol.16 (7), p.1902-1911

2007

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Estimation of high-dimensional sparse cross correlation matrix

Communications for statistical applications and methods, 2022, Vol.29 (6), p.655-664

2022

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High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators

Journal of statistical computation and simulation, 2019-05, Vol.89 (7), p.1278-1300

2019

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ℓ 1 추세필터의 변화점 식별에 있어서의 비일치성

Ŭngyong tʻonggye yŏnʼgu, 2022-06, Vol.35 (3), p.371-384

2022

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Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data

Food chemistry, 2010-08, Vol.121 (4), p.1260-1268

2010

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Seronegative patients form a distinctive subgroup of immune-mediated necrotizing myopathy

Neurology : neuroimmunology & neuroinflammation, 2019-01, Vol.6 (1), p.e513-e513

2019

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Research Quality-Based Multivariate Modeling for Comparison of the Pharmacological Effects of Black and Red Ginseng

Nutrients, 2020-08, Vol.12 (9), p.2590

2020

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TCRβ clones in muscle tissue share structural features in patients with idiopathic inflammatory myopathy and are associated with disease activity

Frontiers in immunology, 2024-01, Vol.14, p.1279055

2024

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Classification of spectral data using fused lasso logistic regression

Chemometrics and intelligent laboratory systems, 2015-03, Vol.142, p.70-77

2015

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설명변수가 랜덤인 선형 프로파일 연구

응용통계연구, 2022, 35(3), , pp.335-346

2022

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Meta-Analysis of Tumor Stem-Like Breast Cancer Cells Using Gene Set and Network Analysis

PloS one, 2016-02, Vol.11 (2), p.e0148818-e0148818

2016

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Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease

Journal of neuroscience methods, 2014-01, Vol.221, p.78-84

2014

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Enhanced construction of gene regulatory networks using hub gene information

Segmentation of binary sequence via minimizing least square error with total variation regularization

Improved control chart for statistical process control using combined X and delayed EWMA statistics

Estimation of the case fatality rate based on stratification for the COVID-19 outbreak

Goodness-of-fit testing for meta-analysis of rare binary events

Condition-number-regularized covariance estimation

Asymptotic of the number of false change points of the fused lasso signal approximator

Efficacy and safety of intravenous and subcutaneous immunoglobulin therapy in idiopathic inflammatory myopathy: A systematic review and meta-analysis

Metabolic response induced by parasitic plant-fungus interactions hinder amino sugar and nucleotide sugar metabolism in the host

Testing independence of bivariate censored data using random walk on restricted permutation graph

Lipidome profile predictive of disease evolution and activity in rheumatoid arthritis

Intravenous immunoglobulins as first-line treatment in idiopathic inflammatory myopathies: a pilot study

High-Throughput Omics and Statistical Learning Integration for the Discovery and Validation of Novel Diagnostic Signatures in Colorectal Cancer

Image Segmentation Using Hidden Markov Gauss Mixture Models

Estimation of high-dimensional sparse cross correlation matrix

High-dimensional Markowitz portfolio optimization problem: empirical comparison of covariance matrix estimators

ℓ 1 추세필터의 변화점 식별에 있어서의 비일치성

Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data

Seronegative patients form a distinctive subgroup of immune-mediated necrotizing myopathy

Research Quality-Based Multivariate Modeling for Comparison of the Pharmacological Effects of Black and Red Ginseng

TCRβ clones in muscle tissue share structural features in patients with idiopathic inflammatory myopathy and are associated with disease activity

Classification of spectral data using fused lasso logistic regression

설명변수가 랜덤인 선형 프로파일 연구

Meta-Analysis of Tumor Stem-Like Breast Cancer Cells Using Gene Set and Network Analysis

Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease

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