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Hyunsoo Kim

Sungkyunkwan University · 医学

研究室紹介

Professor Hyunsoo Kim's research lab specializes in computational biology, bioinformatics, and biomedical data science, focusing on developing advanced algorithms and statistical methods for high-dimensional 'omics' data analysis. The lab emphasizes sparse and non-negative matrix factorization for pattern recognition in gene expression and imaging data, as well as innovative imputation techniques for handling missing values in biological datasets. A key research direction involves biomarker discovery in hepatocellular carcinoma through integrative analysis of genomic and proteomic data, complemented by targeted mass spectrometry validation. The lab also explores medical imaging applications, particularly PET/CT and MRI, for improved cancer diagnosis and therapy monitoring.

biomarker discoverygene expression imputationsparse NMFcovalent inhibitorsmedical imaging

Research Overview

Papers
520
Total Citations
8,835
Papers (5y)
72
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
72total
2022
2023
2024
2025
2026
Citations per year (5y)
636total
20222023202420252026

Selected Papers

15
1
Article|909 citations·2007
Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis
Hyunsoo Kim, Haesun Park
SJR Q1BioinformaticsOA

MOTIVATION: Many practical pattern recognition problems require non-negativity constraints. For example, pixels in digital images and chemical concentrations in bioinformatics are non-negative. Sparse non-negative matrix factorizations (NMFs) are useful when the degree of sparseness in the non-negative basis matrix or the non-negative coefficient matrix in an NMF needs to be controlled in approximating high-dimensional data in a lower dimensional space. RESULTS: In this article, we introduce a n

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
Article|488 citations·2004
Missing value estimation for DNA microarray gene expression data: local least squares imputation
Hyunsoo Kim, Gene H. Golub, Haesun Park
SJR Q1BioinformaticsOA

MOTIVATION: Gene expression data often contain missing expression values. Effective missing value estimation methods are needed since many algorithms for gene expression data analysis require a complete matrix of gene array values. In this paper, imputation methods based on the least squares formulation are proposed to estimate missing values in the gene expression data, which exploit local similarity structures in the data as well as least squares optimization process. RESULTS: The proposed loc

Molecular BiologyBiochemistry, Genetics and Molecular Biology
3
Article|144 citations·2015
Thermal conductivity of polymer composites based on the length of multi-walled carbon nanotubes
Hyun Su Kim, Ji‐un Jang, Jaesang Yu, Seong Yun Kim
SJR Q1Composites Part B Engineering
Materials ChemistryMaterials Science
4
Review|101 citations·2021
Recent advances in the development of covalent inhibitors
Hyunsoo Kim, Yoon Soo Hwang, Mingi Kim, Seung Bum Park
SJR Q1RSC Medicinal ChemistryOA

The use of covalent inhibitors in the field of drug discovery has attracted considerable attention in the 2000s. As a result, more than 50 covalent drugs are currently on the market, and numerous covalent drug candidates are now under development. Therefore, interest in covalent drugs is expected to continue in the future. The purpose of this focused review is to provide an understanding of the development of covalent inhibitors by describing their inherent characteristics, possibilities, and li

Organic ChemistryChemistry
5
Review|100 citations·2012
National Screening Program for Transitional Ages in Korea: A New Screening for Strengthening Primary Prevention and Follow-up Care
Hyun Su Kim, Dong Wook Shin, Won Chul Lee, Young Taek Kim, Belong Cho
SJR Q2Journal of Korean Medical ScienceOA

Screening can effectively reduce mortality and morbidity in some diseases. In Korea, a practical national screening program for chronic disease was launched in 1995 and several problems were discussed. The program focused primarily on disease detection without follow-up care. In addition, the test items were uniform regardless of subject's age, sex, or risk factors; and people with low socioeconomic status were excluded. To improve the quality of program, a new national screening program called

EpidemiologyMedicine
6
Article|92 citations·2013
Development of Biomarkers for Screening Hepatocellular Carcinoma Using Global Data Mining and Multiple Reaction Monitoring
Hyunsoo Kim, Kyunggon Kim, Su Jong Yu, Eun Sun Jang, Jiyoung Yu, Geunhee Cho, Jung‐Hwan Yoon, Youngsoo Kim
SJR Q1PLoS ONEOA

Hepatocellular carcinoma (HCC) is one of the most common and aggressive cancers and is associated with a poor survival rate. Clinically, the level of alpha-fetoprotein (AFP) has been used as a biomarker for the diagnosis of HCC. The discovery of useful biomarkers for HCC, focused solely on the proteome, has been difficult; thus, wide-ranging global data mining of genomic and proteomic databases from previous reports would be valuable in screening biomarker candidates. Further, multiple reaction

SpectroscopyChemistry
7
Review|86 citations·2014
PET/CT versus MRI for diagnosis, staging, and follow-up of lung cancer
Hyun Su Kim, Kyung Soo Lee, Yoshiharu Ohno, Edwin J.R. van Beek, J. Biederer
SJR Q1Journal of Magnetic Resonance Imaging

Positron emission tomography / computed tomography (PET/CT), with its metabolic data of (18) F-fluorodeoxyglucose (FDG) cellular uptake in addition to morphologic CT data, is an established technique for staging of lung cancer and has higher sensitivity and accuracy for lung nodule characterization than conventional approaches. Its strength extends outside the chest, with unknown metastases detected or suspected metastases excluded in a significant number of patients. Lastly, PET/CT is used in t

Radiology, Nuclear Medicine and ImagingMedicine
8
Article|83 citations·2012
Serial CT Findings ofMycobacterium massiliensePulmonary Disease Compared withMycobacterium abscessusDisease after Treatment with Antibiotic Therapy
Hyun Su Kim, Kyung Soo Lee, Won‐Jung Koh, Kyeongman Jeon, Eun Ju Lee, Hee Yoon Kang, Joonghyun Ahn
SJR Q1Radiology

Common CT findings of M massiliense diseases overlap with those of M abscessus disease. However, responses to antibiotic treatment are much different; in M massiliense disease, negative sputum conversion is accomplished in all patients and serial CT scans show improvement in most patients.

EpidemiologyMedicine
9
Article|79 citations·2016
Identifying Safety Hazards Using Collective Bodily Responses of Workers
Hyunsoo Kim, Changbum R. Ahn, Kanghyeok Yang
SJR Q1Journal of Construction Engineering and Management

Current construction hazard identification mostly relies on safety managers’ ability to identify hazards using their prior knowledge about them. Consequently, numerous latent hazards remain unidentified, which poses significant risks to construction workers. To advance current hazard identification capabilities, this study examines the feasibility of harnessing and analyzing collective patterns of workers’ bodily responses (balance, gait, etc.) to identify safety hazards on a jobsite. To test th

Radiological and Ultrasound TechnologyHealth Professions
10
Article|74 citations·2014
Assessment of biochemical markers in the early post-burn period for predicting acute kidney injury and mortality in patients with major burn injury: comparison of serum creatinine, serum cystatin-C, plasma and urine neutrophil gelatinase-associated lipocalin
Hyeong Tae Yang, Haejun Yim, Yong Suk Cho, Dohern Kym, Jun Hur, Jong Hyun Kim, Wook Chun, Hyun Soo Kim
SJR Q1Critical CareOA

INTRODUCTION: The reported mortality rates range from 28% to 100% in burn patients who develop acute kidney injury (AKI) and from 50% to 100% among such patients treated with renal replacement therapy. Recently, the serum cystatin C and plasma and urine neutrophil gelatinase-associated lipocalin (NGAL) levels have been introduced as early biomarkers for AKI; the levels of these biomarkers are known to increase 24 to 48 hours before the serum creatinine levels increase. In this study, we aimed to

NephrologyMedicine
11
Article|73 citations·2012
Evaluation of therapeutic response to concurrent chemoradiotherapy in patients with cervical cancer using diffusion‐weighted MR imaging
Hyun Su Kim, Chan Kyo Kim, Byung Kwan Park, Seung Jae Huh, Bohyun Kim
SJR Q1Journal of Magnetic Resonance ImagingOA

PURPOSE: To investigate the changes in apparent diffusion coefficients (ADCs) in cervical cancer patients receiving concurrent chemoradiotherapy (CCRT), and to assess the relationship between tumor ADCs or changes in tumor ADCs and final tumor responses to therapy. MATERIALS AND METHODS: Twenty-four patients with cervical cancer who received CCRT were examined with 3 Tesla (T) MRI including diffusion-weighted imaging (DWI). All patients had three serial MR examinations: before therapy (pre-Tx);

Obstetrics and GynecologyMedicine
12
Article|66 citations·2023
Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data
Sungkook Hong, Jihwan Yoon, Youngjib Ham, Bogyeong Lee, Hyunsoo Kim
SJR Q1Automation in Construction
Radiological and Ultrasound TechnologyHealth Professions
13
Review|63 citations·2024
Mass Spectrometry Advancements and Applications for Biomarker Discovery, Diagnostic Innovations, and Personalized Medicine
Ahrum Son, Woojin Kim, Jongham Park, Yongho Park, Wonseok Lee, Sangwoon Lee, Hyunsoo Kim
SJR Q1International Journal of Molecular SciencesOA

Mass spectrometry (MS) has revolutionized clinical chemistry, offering unparalleled capabilities for biomolecule analysis. This review explores the growing significance of mass spectrometry (MS), particularly when coupled with liquid chromatography (LC), in identifying disease biomarkers and quantifying biomolecules for diagnostic and prognostic purposes. The unique advantages of MS in accurately identifying and quantifying diverse molecules have positioned it as a cornerstone in personalized-me

SpectroscopyChemistry
14
Article|49 citations·2017
Serum fibronectin distinguishes the early stages of hepatocellular carcinoma
Hyunsoo Kim, Jiyoung Park, Yongkang Kim, Areum Sohn, Injun Yeo, Su Jong Yu, Jung‐Hwan Yoon, Taesung Park, Youngsoo Kim, Youngsoo Kim, Youngsoo Kim
SJR Q1Scientific ReportsOA

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death, necessitating the discovery of serum markers for its early detection. In this study, a total of 180 serum samples from liver cirrhosis (LC), hepatocellular carcinoma (HCC) patients and paired samples of HCC patients who recovered (Recovery) were analyzed by multiple reaction monitoring-mass spectrometry (MRM-MS) to verify biomarkers. The three-fold crossvalidation was repeated 100 times in the training and test se

Immunology and AllergyMedicine
15
Article|47 citations·2018
Clinical Assay for AFP-L3 by Using Multiple Reaction Monitoring–Mass Spectrometry for Diagnosing Hepatocellular Carcinoma
Hyunsoo Kim, Areum Sohn, Injoon Yeo, Su Jong Yu, Jung‐Hwan Yoon, Youngsoo Kim
SJR Q1Clinical ChemistryOA

BACKGROUND: agglutinin-reactive fraction of α-fetoprotein (AFP-L3) is a serum biomarker for hepatocellular carcinoma (HCC). AFP-L3 is typically measured by liquid-phase binding assay (LiBA). However, LiBA does not always reflect AFP-L3 concentrations because of its low analytical sensitivity. Thus, we aimed to develop an analytically sensitive multiple reaction monitoring-mass spectrometry (MRM-MS) assay to quantify AFP-L3 in serum. METHODS: agglutinin lectin, deglycosylation, trypsin digestion,

Molecular BiologyBiochemistry, Genetics and Molecular Biology

Research Areas

Molecular BiologyElectrical and Electronic EngineeringCellular and Molecular NeuroscienceSurgerySpectroscopyEpidemiology

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