RN-Cluster: Discovering Coherent Biclusters Which is Robust to Noise. - Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (BIOTECHNO, 2008)

A Computational Approach to Detect CNVs Using High-throughput Sequencing. - Myungjin Moon; Jaegyoon Ahn; Youngmi Yoon; Chihyun Park; Sanghyun Park 003; Jeehee Yoon (BIBE, 2009)

A novel approach to detect copy number variation using segmentation and genetic algorithm. - Chihyun Park; Youngmi Yoon; Jaegyoon Ahn; Myungjin Moon; Sanghyun Park 003 (SAC, 2009)

A novel cancer classifier based on differentially expressed gene network. - Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (BCB, 2010)

Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate. - Yunku Yeu; Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (EvoBio, 2011)

Integrative gene network construction for predicting a set of complementary prostate cancer genes. - Jaegyoon Ahn; Youngmi Yoon; Chihyun Park; Eunji Shin; Sanghyun Park 003 (Bioinform., 2011)

TC-VGC: A Tumor Classification System using Variations in Genes' Correlation. - Eunji Shin; Youngmi Yoon; Jaegyoon Ahn; Sanghyun Park 003 (Comput. Methods Programs Biomed., 2011)

Noise-robust algorithm for identifying functionally associated biclusters from gene expression data. - Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (Inf. Sci., 2011)

Protein complex prediction via bottleneck-based graph partitioning. - Jaegyoon Ahn; Dae Hyun Lee; Youngmi Yoon; Yunku Yeu; Sanghyun Park 003 (DTMBIO@CIKM, 2012)

Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale. - Chihyun Park; Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (Bioinform., 2012)

CNV detection method optimized for high-resolution arrayCGH by normality test. - Jaegyoon Ahn; Youngmi Yoon; Chihyun Park; Sanghyun Park 003 (Comput. Biol. Medicine, 2012)

Impact of TGF-b on breast cancer from a quantitative proteomic analysis. - Jaegyoon Ahn; Youngmi Yoon; Yunku Yeu; Hookuen Lee; Sanghyun Park 003 (Comput. Biol. Medicine, 2013)

ICP: A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data. - Hyunjin Kim; Jaegyoon Ahn; Chihyun Park; Youngmi Yoon; Sanghyun Park 003 (Comput. Biol. Medicine, 2013)

Improved method for protein complex detection using bottleneck proteins. - Jaegyoon Ahn; Dae Hyun Lee; Youngmi Yoon; Yunku Yeu; Sanghyun Park 003 (BMC Medical Informatics Decis. Mak., 2013)

Discovering phenotype specific gene module using a novel biclustering algorithm in colorectal cancer. - Jungrim Kim; Youngmi Yoon; Sanghyun Park 003; Jaegyoon Ahn; Yunku Yeu (BIBM, 2014)

Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm. - Daye Jeong; Yunku Yeu; Jaegyoon Ahn; Youngmi Yoon; Sanghyun Park 003 (SAC, 2015)

RASER: reads aligner for SNPs and editing sites of RNA. - Jaegyoon Ahn; Xinshu Xiao (Bioinform., 2015)

A literature-driven method to calculate similarities among diseases. - Hyunjin Kim; Youngmi Yoon; Jaegyoon Ahn; Sanghyun Park 003 (Comput. Methods Programs Biomed., 2015)

Corrigendum to "A literature-driven method to calculate similarities among diseases" [Comput. Methods Programs Biomed. (2015) 108-122]. - Hyunjin Kim; Youngmi Yoon; Jaegyoon Ahn; Sanghyun Park 003 (Comput. Methods Programs Biomed., 2016)

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers. - Jonghwan Choi; Sanghyun Park 003; Youngmi Yoon; Jaegyoon Ahn (Bioinform., 2017)

Drug voyager: a computational platform for exploring unintended drug action. - Min Oh; Jaegyoon Ahn; Taekeon Lee; Giup Jang; Chihyun Park; Youngmi Yoon (BMC Bioinform., 2017)

Systematic identification of differential gene network to elucidate Alzheimer's disease. - Chihyun Park; Youngmi Yoon; Min Oh; Seok Jong Yu; Jaegyoon Ahn (Expert Syst. Appl., 2017)

Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms. - Sangmin Seo; Jonghwan Choi; Soon Kil Ahn; Kil Won Kim; Jaekwang Kim; Jaehyuck Choi; Jinho Kim; Jaegyoon Ahn (Comput. Math. Methods Medicine, 2018)

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing. - Giup Jang; Taekeon Lee; Soyoun Hwang; Chihyun Park; Jaegyoon Ahn; Sukyung Seo; Youhyeon Hwang; Youngmi Yoon (J. Biomed. Informatics, 2018)

Novel deep learning model for more accurate prediction of drug-drug interaction effects. - Geonhee Lee; Chihyun Park; Jaegyoon Ahn (BMC Bioinform., 2019)

RN+: A Novel Biclustering Algorithm for Analysis of Gene Expression Data Using Protein-Protein Interaction Network. - Jaegyoon Ahn; Junhyeok Choi; Harrim Kim; Jibum Kim (J. Comput. Biol., 2019)

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks. - Chihyun Park; Ilhwan Oh; Jonghwan Choi; Soohyun Ko; Jaegyoon Ahn (IEEE Access, 2021)

Binding affinity prediction for protein-ligand complex using deep attention mechanism based on intermolecular interactions. - Sangmin Seo 001; Jonghwan Choi; Sanghyun Park 003; Jaegyoon Ahn (BMC Bioinform., 2021)

A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes. - Heewon Jung; Jonghwan Choi; Jiwoo Park; Jaegyoon Ahn (IEEE Access, 2022)

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder. - Hwanhee Kim; Soohyun Ko; Byung Ju Kim; Sung Jin Ryu; Jaegyoon Ahn (J. Cheminformatics, 2022)

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation. - Jinyeong Park; Jaegyoon Ahn; Jonghwan Choi; Jibum Kim (J. Chem. Inf. Model., 2025)

PathNetDRP: a novel biomarker discovery framework using pathway and protein-protein interaction networks for immune checkpoint inhibitor response prediction. - Dohee Lee; Jaegyoon Ahn; Jonghwan Choi (BMC Bioinform., 2025)