Jaegyoon Ahn

发表

Integrative Gene Network Construction to Analyze Cancer Recurrence Using Semi-Supervised Learning

Sanghyun Park, Chihyun Park, Jaegyoon Ahn, 2014, PloS one.

A survey of sequence alignment algorithms for next-generation sequencing read

Sanghyun Park, Minseo Park, Pan-Gyu Kim, 2012 .

Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms

Sangmin Seo, Jinho Kim, Jaekwang Kim, 2018, Comput. Math. Methods Medicine.

Identifying the common genetic networks of ADR (adverse drug reaction) clusters and developing an ADR classification model.

Chihyun Park, Jaegyoon Ahn, Giup Jang, 2017, Molecular bioSystems.

A Multi-Sample Based Method for Identifying Common CNVs in Normal Human Genomic Structure Using High-Resolution aCGH Data

Sanghyun Park, Chihyun Park, Jaegyoon Ahn, 2011, PloS one.

Intrahepatic inflammatory IgA+PD-L1high monocytes in hepatocellular carcinoma development and immunotherapy

Jaegyoon Ahn, Jonghwan Choi, J. Jang, 2022, Journal for ImmunoTherapy of Cancer.

GVES: machine learning model for identification of prognostic genes with a small dataset

Jaegyoon Ahn, Jonghwan Choi, Soohyun Ko, 2021, Scientific Reports.

Blood-based biomarkers for immune-based therapy in advanced HCC: Promising but a long way to go

Jaegyoon Ahn, S. Yoon, P. Sung, 2022, Frontiers in Oncology.

Identification of Heterogeneous Prognostic Genes and Prediction of Cancer Outcome using PageRank

Jaegyoon Ahn, Jonghwan Choi, 2018 .

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder

Jaegyoon Ahn, S. Ryu, Hwanhee Kim, 2022, J. Cheminformatics.

Coregulation of alternative splicing by hnRNPM and ESRP1 during EMT

S. E. Harvey, Chonghui Cheng, X. Xiao, 2018, bioRxiv.

Integrative gene network construction for predicting a set of complementary prostate cancer genes

Sanghyun Park, Youngmi Yoon, Chihyun Park, 2011, Bioinform..

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks

Chihyun Park, Jaegyoon Ahn, Jonghwan Choi, 2021, IEEE Access.

ESRP2 controls an adult splicing programme in hepatocytes to support postnatal liver maturation

T. Bebee, R. Carstens, Jae-Hyung Lee, 2015, Nature Communications.

Genomic Analysis of ADAR1 Binding and its Involvement in Multiple RNA Processing Pathways

Xinshu Xiao, Jaegyoon Ahn, Mete Civelek, 2015, Nature Communications.

ICP: A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data

Hyunjin Kim, Sanghyun Park, Youngmi Yoon, 2013, Comput. Biol. Medicine.

Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing

Chonghui Cheng, Jae-Hyung Lee, M. Peter, 2014, Genes & development.

metastasis via regulating alternative splicing Cell type-restricted activity of hnRNPM promotes breast cancer Material Supplemental

Chonghui Cheng, Jae-Hyung Lee, M. Peter, 2014 .

Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN

Jaegyoon Ahn, Sang-Je Park, Soohyun Ko, 2021, PloS one.

A Network-Based Classification Model for Deriving Novel Drug-Disease Associations and Assessing Their Molecular Actions

Youngmi Yoon, Jaegyoon Ahn, Min Oh, 2014, PloS one.

An Improved Method for Prediction of Cancer Prognosis by Network Learning

Minseon Kim, Jaegyoon Ahn, Ilhwan Oh, 2018, Genes.

A novel machine learning model for identifying patient-specific cancer driver genes

Jaegyoon Ahn, Jonghwan Choi, Ji-Woo Lee, 2022, IEEE Access.

A novel approach to detect copy number variation using segmentation and genetic algorithm

Sanghyun Park, Youngmi Yoon, Chihyun Park, 2009, SAC '09.

Improved prediction of breast cancer outcome by identifying heterogeneous biomarkers

Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn, 2017, Bioinform..

Genome-Wide Association Study between Copy Number Variation and Trans-Gene Expression by Protein-Protein Interaction-Network

Youngmi Yoon, Chihyun Park, Jaegyoon Ahn, 2011 .

Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale

Sanghyun Park, Youngmi Yoon, Chihyun Park, 2012, Bioinform..

CNV detection method optimized for high-resolution arrayCGH by normality test

Sanghyun Park, Youngmi Yoon, Chihyun Park, 2012, Comput. Biol. Medicine.

NGSOne: Cloud-based NGS data analysis tool

Jaegyoon Ahn, Jason Kim, ChangHyuk Kwon, 2018 .

G2Vec: Distributed gene representations for identification of cancer prognostic genes

Jaegyoon Ahn, Sangmin Seo, Jonghwan Choi, 2018, Scientific Reports.

A literature-driven method to calculate similarities among diseases

Hyunjin Kim, Sanghyun Park, Youngmi Yoon, 2015, Comput. Methods Programs Biomed..

Systematic identification of differential gene network to elucidate Alzheimer's disease

Seok Jong Yu, Youngmi Yoon, Chihyun Park, 2017, Expert Syst. Appl..

TC-VGC: A Tumor Classification System using Variations in Genes' Correlation

Youngmi Yoon, Jaegyoon Ahn, Eunji Shin, 2011, Comput. Methods Programs Biomed..

A novel cancer classifier based on differentially expressed gene network

Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn, 2010, BCB '10.

RASER: reads aligner for SNPs and editing sites of RNA

Xinshu Xiao, Jaegyoon Ahn, X. Xiao, 2015, Bioinform..

Novel deep learning model for more accurate prediction of drug-drug interaction effects

Chihyun Park, Jaegyoon Ahn, Geonhee Lee, 2019, BMC Bioinformatics.

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

Sanghyun Park, Jaegyoon Ahn, Sangmin Seo, 2021, BMC Bioinform..

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

Sanghyun Park, Jaegyoon Ahn, Sangmin Seo, 2021, BMC Bioinformatics.

Impact of TGF-b on breast cancer from a quantitative proteomic analysis

Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn, 2013, Comput. Biol. Medicine.

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing

Youngmi Yoon, Chihyun Park, Taekeon Lee, 2018, J. Biomed. Informatics.

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance

Sanghyun Park, Jaegyoon Ahn, Jonghwan Choi, 2020, Scientific Reports.

Metabolic profiling reveals an increase in stress-related metabolites in Arabidopsis thaliana exposed to honeybees

Jaegyoon Ahn, S. Ahn, K. Kim, 2021, Journal of Applied Biological Chemistry.

Noise-robust algorithm for identifying functionally associated biclusters from gene expression data

Sanghyun Park, Youngmi Yoon, Jaegyoon Ahn, 2011, Inf. Sci..

Drug voyager: a computational platform for exploring unintended drug action

Chihyun Park, Jaegyoon Ahn, Giup Jang, 2017, BMC Bioinformatics.

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance

Sanghyun Park, Jaegyoon Ahn, Jonghwan Choi, 2020, Scientific Reports.

Higher Number of Tumor-Infiltrating PD-L1+ Cells Is Related to Better Response to Multikinase Inhibitors in Hepatocellular Carcinoma

Jaegyoon Ahn, J. Jang, S. Bae, 2023, Diagnostics.

Classifying a Strength of Dependency between classes by using Software Metrics and Machine Learning in Object-Oriented System

Sanghyun Park, Jaegyoon Ahn, Yunku Yeu, 2013 .

A Method for Cancer Prognosis Prediction Using Gene Embedding

Jaegyoon Ahn, Hyunji Kim, 2021, Journal of KIISE.

DockerBIO: web application for efficient use of bioinformatics Docker images

Jason Kim, Jaegyoon Ahn, ChangHyuk Kwon, 2018, PeerJ.

Metabolic profiling reveals glucose and fructose accumulation in gcr1 knock-out mutant of Arabidopsis

Jaegyoon Ahn, S. Ahn, K. Kim, 2019, Applied Biological Chemistry.

A Computational Approach to Detect CNVs Using High-throughput Sequencing

Sanghyun Park, Jeehee Yoon, Youngmi Yoon, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Comparative Analysis of Atezolizumab Plus Bevacizumab and Hepatic Artery Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter, Propensity Score Study

Jaegyoon Ahn, J. Jang, S. Bae, 2023, Cancers.

Accurate Prediction of Cancer Prognosis by Exploiting Patient-Specific Cancer Driver Genes

Jaegyoon Ahn, Heewon Jung, Suyeon Lee, 2023, International journal of molecular sciences.

Novel deep learning model for more accurate prediction of drug-drug interaction effects

Chihyun Park, Jaegyoon Ahn, Geonhee Lee, 2019, BMC Bioinformatics.