Comparative Analysis of Atezolizumab Plus Bevacizumab and Hepatic Artery Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter, Propensity Score Study, Cancers , 제15권(집) , 제17호 , 2023.09.01

Higher Number of Tumor-Infiltrating PD-L1+ Cells Is Related to Better Response to Multikinase Inhibitors in Hepatocellular Carcinoma, Diagnostics , 제13권(집) , 제8호 , 2023.04.18

Accurate Prediction of Cancer Prognosis by Exploiting Patient-Specific Cancer Driver Genes, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES , 제24권(집) , 제7호 , 2023.04.01

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder, Journal of Cheminformatics , 제14권(집) , 제1호 , 2022.12.09

Blood-based biomarkers for immune-based therapy in advanced HCC: Promising but a long way to go, Frontiers in Oncology , 제12권(집) , 2022.10.31

A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes, IEEE Access , 제10권(집) , PP.54245~54253 , 2022.05.26

Intrahepatic inflammatory IgA+PD-L1high monocytes in hepatocellular carcinoma development and immunotherapy, Journal for ImmunoTherapy of Cancer , 제10권(집) , 제5호 , 2022.05.16

개인별 유전자 네트워크 구축 및 페이지랭크를 이용한 환자 특이적 암 유발 유전자 탐색 방법, 정보처리학회논문지. 소프트웨어 및 데이터 공학 , 제10권(집) , 제12호 , PP.547~554 , 2021.12.01

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions, BMC BIOINFORMATICS , 제22권(집) , 제1호 , 2021.11.08

유전자 임베딩을 이용한 암 예후 예측 방법, 정보과학회논문지 , 제48권(집) , 제7호 , PP.842~849 , 2021.07.01

Metabolic profiling reveals an increase in stress-related metabolites in Arabidopsis thaliana exposed to honeybees, Journal of Applied Biological Chemistry , 제64권(집) , 제2호 , PP.141~151 , 2021.06.30

Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN, PLoS One , 제16권(집) , 제4호 , 2021.04.27

딥러닝을 이용한 약물 화학 구조 예측, 정보과학회논문지 , 제48권(집) , 제2호 , PP.234~242 , 2021.02.09

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks, IEEE Access , 제9권(집) , PP.20076~20088 , 2021.02.05

GVES: machine learning model for identification of prognostic genes with a small dataset, Scientific Reports , 제11권(집) , 제1호 , 2021.01.11

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance, Scientific Reports , 제10권(집) , 제1호 , 2020.02.05

딥러닝을 이용한 화합물-단백질 상호작용 예측, 정보과학회논문지 , 제46권(집) , 제10호 , PP.1054~1060 , 2019.10.01

Novel deep learning model for more accurate prediction of drug-drug interaction effects, BMC BIOINFORMATICS , 제20권(집) , 제1호 , 2019.08.06

RN+: A Novel Biclustering Algorithm for Analysis of Gene Expression Data Using Protein–Protein Interaction Network, JOURNAL OF COMPUTATIONAL BIOLOGY , 제26권(집) , 제5호 , PP.1~10 , 2019.05.01

Metabolic profiling reveals glucose and fructose accumulation in gcr1 knock‑out mutant of Arabidopsis, Applied Biological Chemistry , 제62권(집) , 제33호 , 2019.04.16

유전자 앱을 만들 수 있는 유전자 앱 센터, 융복합지식학회논문지 , 제7권(집) , 제1호 , PP.47~52 , 2019.01.01

NGSOne: 클라우드 기반의 유전체(NGS) 데이터 분석 툴, Journal of Platform Technology , 제6권(집) , 제4호 , PP.87~95 , 2018.12.01

DockerBIO: web application for efficient use of bioinformatics Docker images, PeerJ , 제6권(집) , 2018.11.27

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing, JOURNAL OF BIOMEDICAL INFORMATICS , 제87권(집) , PP.96~107 , 2018.11.01

An Improved Method for Prediction of Cancer Prognosis by Network Learning, Genes , 2018.10.02

G2Vec: Distributed gene representations for identification of cancer prognostic genes, Scientific Reports , 2018.09.13

Coregulation of alternative splicing by hnRNPM and ESRP1 during EMT, RNA , 2018.07.24

Prediction of GPCR-ligand binding using machine learning algorithms, Computational and Mathematical Methods in Medicine , 2018.01.30

페이지랭크를 이용한 암환자의 이질적인 예후 유전자 식별 및 예후 예측, 정보과학회논문지 , 제45권(집) , 제1호 , PP.61~68 , 2018.01.30

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers, BIOINFORMATICS , 제33권(집) , 제22호 , PP.3619~3626 , 2017.11.15

Systematic identification of differential gene network to elucidate Alzheimer's disease, EXPERT SYSTEMS WITH APPLICATIONS , 제85권(집) , PP.249~260 , 2017.11.01

Identifying the common genetic networks of ADR (adverse drug reaction) clusters and developing an ADR classification model, Molecular BioSystems , 제13권(집) , 제22호 , PP.1788~1796 , 2017.08.22

Drug voyager: a computational platform for exploring unintended drug action, BMC BIOINFORMATICS , 제18권(집) , 2017.02.28

RASER: reads aligner for SNPs and editing sitesof RNA, BIOINFORMATICS , 제31권(집) , 제24호 , PP.3906~3913 , 2015.12.15

ESRP2 controls an adult splicing programme in hepatocytes to support postnatal liver maturation, Nature Communications , 제6권(집) , 제8768호 , 2015.11.04

A literature-driven method to calculate similarities among diseases, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE , 제122권(집) , 제2호 , PP.108~122 , 2015.11.01

Genomic analysis of ADAR1 binding and its involvement in multiple RNA processing pathways, Nature Communications , 제6권(집) , 제6355호 , 2015.03.09

A Network-Based Classification Model for Deriving Novel Drug-Disease Associations and Assessing Their Molecular Actions, PLoS One , 제9권(집) , 제10호 , 2014.10.30

Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing, GENES & DEVELOPMENT , 제28권(집) , 제11호 , PP.1191~1203 , 2014.05.19

Integrative Gene Network Construction to Analyze Cancer Recurrence using Semi-Supervised Learning, PLoS One , 제10권(집) , 제1371호 , 2014.01.31

Impact of TGF-b on Breast Cancer from a Quantitative Proteomic Analysis, COMPUTERS IN BIOLOGY AND MEDICINE , 제43권(집) , 제12호 , PP.2096~2102 , 2013.12.01

기계학습과 품질 메트릭을 활용한 객체간 링크결합강도 분류에 관한 연구, 정보처리학회논문지. 소프트웨어 및 데이터 공학 , 제2권(집) , 제10호 , PP.651~660 , 2013.10.01

ICP: A Novel Approach to Predict Prognosis of Prostate Cancer with Inner-class Clustering of Gene Expression Data, COMPUTERS IN BIOLOGY AND MEDICINE , 제43권(집) , 제10호 , PP.1363~1373 , 2013.10.01

Improved method for protein complex detection using bottleneck proteins, BMC Medical Informatics and Decision Making , 제13권(집) , 제1호 , 2013.05.05

암의 예후 예측을 위한 그래프 기반의 준지도 학습 방법, 정보과학회 컴퓨팅의 실제 논문지 , 제19권(집) , 제2호 , PP.71~76 , 2013.02.01

유전자 발현량 차이를 이용한 네트워크 기반 질병 관련 유전자 탐색 기법, 데이타베이스연구 , 제28권(집) , 제3호 , PP.89~101 , 2012.12.01

단백질 상호작용 네트워크 및 유전자 발현값을 이용한 중복 허용 단백질 복합체 탐색 방법의 연구, 정보과학회논문지 : 데이타베이스 , 제39권(집) , 제3호 , PP.202~209 , 2012.06.01

Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale, BIOINFORMATICS , 제28권(집) , 제15호 , PP.2045~2051 , 2012.05.30

차세대 시퀀싱 리드를 위한 서열 정렬 알고리즘에 관한 비교 연구, 데이타베이스연구 , 제28권(집) , 제1호 , PP.35~51 , 2012.04.01

CNV Detection Method Optimized for High Resolution arrayCGH by Normality Test, COMPUTERS IN BIOLOGY AND MEDICINE , 제42권(집) , 제4호 , PP.468~473 , 2012.04.01

TC-VGC: A Tumor Classification System using Variations in Genes’ Correlation, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE , 제104권(집) , 제3호 , PP.87~101 , 2011.12.01

A Multi-sample based Method for Identifying Common CNVs in Normal Human Genomic Structure using High-resolution aCGH Data, PLoS One , 제6권(집) , 제10호 , 2011.10.31

Integrative Gene Network Construction for Predicting a Set of Complementary Prostate Cancer Genes, BIOINFORMATICS , 제27권(집) , 제13호 , PP.1846~1853 , 2011.05.06

단백질 상호작용 네트워크를 통한 유전체 단위반복변이와 트랜스유전자 발현과의 연관성 분석, 정보처리학회논문지D , 제18권(집) , 제2호 , PP.89~100 , 2011.04.01

Noise-robust algorithm for identifying functionally associated biclusters from gene expression data, INFORMATION SCIENCES , 제181권(집) , 제3호 , PP.435~449 , 2011.02.01