Chihyun Park

Orcid: 0000-0003-4995-2312

According to our database1, Chihyun Park authored at least 27 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
De novo drug design through gradient-based regularized search in information-theoretically controlled latent space.
J. Comput. Aided Mol. Des., December, 2024

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.
Eng. Appl. Artif. Intell., January, 2024

PIDiff: Physics informed diffusion model for protein pocket-specific 3D molecular generation.
Comput. Biol. Medicine, 2024

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training.
Comput. Biol. Medicine, May, 2023

2021
Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks.
IEEE Access, 2021

MLMD: Metric Learning for Predicting MiRNA-Disease Associations.
IEEE Access, 2021

2020
IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization.
J. Biomed. Informatics, 2020

Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition.
J. Biomed. Informatics, 2020

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset.
Expert Syst. Appl., 2020

2019
Die-Attach Structure of Silicon-on-Glass MEMS Devices Considering Asymmetric Packaging Stress and Thermal Stress.
Sensors, 2019

PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach.
BMC Syst. Biol., 2019

Novel deep learning model for more accurate prediction of drug-drug interaction effects.
BMC Bioinform., 2019

2018
PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.
J. Biomed. Informatics, 2018

2017
IMA: Identifying disease-related genes using MeSH terms and association rules.
J. Biomed. Informatics, 2017

Systematic identification of differential gene network to elucidate Alzheimer's disease.
Expert Syst. Appl., 2017

Systematic identification of an integrative network module during senescence from time-series gene expression.
BMC Syst. Biol., 2017

Drug voyager: a computational platform for exploring unintended drug action.
BMC Bioinform., 2017

CATS: a big network clustering algorithm based on triangle structures.
Proceedings of the Symposium on Applied Computing, 2017

2016
Efficient processing of continuous queries utilizing F-relationship in stock databases.
Comput. Sci. Inf. Syst., 2016

2013
ICP: A novel approach to predict prognosis of prostate cancer with inner-class clustering of gene expression data.
Comput. Biol. Medicine, 2013

2012
CNV detection method optimized for high-resolution arrayCGH by normality test.
Comput. Biol. Medicine, 2012

Identification of functional CNV region networks using a CNV-gene mapping algorithm in a genome-wide scale.
Bioinform., 2012

2011
Integrative gene network construction for predicting a set of complementary prostate cancer genes.
Bioinform., 2011

2009
A novel approach to detect copy number variation using segmentation and genetic algorithm.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

A Computational Approach to Detect CNVs Using High-throughput Sequencing.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2006
Hard Handoff Scheme Exploiting Uplink and Downlink Signals in IEEE 802.16e Systems.
Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006


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