Yung-Keun Kwon

According to our database, Yung-Keun Kwon authored at least 33 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A novel constrained genetic algorithm-based Boolean network inference method from steady-state gene expression data.

Hung-Cuong Trinh, Yung-Keun Kwon

Bioinform., 2021

2020

A Boolean network inference from time-series gene expression data using a statistical method.

Shohag Barman, Hira Lal Gope, Yung-Keun Kwon

Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020

2018

An Empirical Study on Importance of Modeling Parameters and Trading Volume-Based Features in Daily Stock Trading Using Neural Networks.

Thuy-An Dinh, Yung-Keun Kwon

Informatics, 2018

A Boolean network inference from time-series gene expression data using a genetic algorithm.

Shohag Barman, Yung-Keun Kwon

Bioinform., 2018

2017

Investigation on changes of modularity and robustness by edge-removal mutations in signaling networks.

Cong-Doan Truong, Yung-Keun Kwon

BMC Syst. Biol., 2017

Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.

Maulida Mazaya, Hung-Cuong Trinh, Yung-Keun Kwon

BMC Syst. Biol., 2017

2016

Dynamical Robustness against Multiple Mutations in Signaling Networks.

Yung-Keun Kwon, Junil Kim, Kwang-Hyun Cho

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

MORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks.

Cong-Doan Truong, Tien-Dzung Tran, Yung-Keun Kwon

BMC Syst. Biol., 2016

Properties of Boolean dynamics by node classification using feedback loops in a network.

Yung-Keun Kwon

BMC Syst. Biol., 2016

Edge-based sensitivity analysis of signaling networks by using Boolean dynamics.

Hung-Cuong Trinh, Yung-Keun Kwon

Bioinform., 2016

2015

Effective Boolean dynamics analysis to identify functionally important genes in large-scale signaling networks.

Hung-Cuong Trinh, Yung-Keun Kwon

Biosyst., 2015

2014

Hierarchical closeness efficiently predicts disease genes in a directed signaling network.

Tien-Dzung Tran, Yung-Keun Kwon

Comput. Biol. Chem., 2014

A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction.

Duc-Hau Le, Nguyen Xuan Hoai, Yung-Keun Kwon

Proceedings of the Knowledge and Systems Engineering, 2014

2013

Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization.

Duc-Hau Le, Yung-Keun Kwon

Comput. Biol. Chem., 2013

A coherent feedforward loop design principle to sustain robustness of biological networks.

Duc-Hau Le, Yung-Keun Kwon

Bioinform., 2013

2012

GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection.

Duc-Hau Le, Yung-Keun Kwon

Comput. Biol. Chem., 2012

2011

NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks.

Duc-Hau Le, Yung-Keun Kwon

Bioinform., 2011

The effects of feedback loops on disease comorbidity in human signaling networks.

Duc-Hau Le, Yung-Keun Kwon

Bioinform., 2011

2008

Coherent coupling of feedback loops: a design principle of cell signaling networks.

Yung-Keun Kwon, Kwang-Hyun Cho

Bioinform., 2008

Quantitative analysis of robustness and fragility in biological networks based on feedback dynamics.

Yung-Keun Kwon, Kwang-Hyun Cho

Bioinform., 2008

2007

A Hybrid Neurogenetic Approach for Stock Forecasting.

Yung-Keun Kwon, Byung Ro Moon

IEEE Trans. Neural Networks, 2007

Properties of Symmetric Fitness Functions.

Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon

IEEE Trans. Evol. Comput., 2007

Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on Boolean network modeling.

Yung-Keun Kwon, Sun Shim Choi, Kwang-Hyun Cho

BMC Bioinform., 2007

Analysis of feedback loops and robustness in network evolution based on Boolean models.

Yung-Keun Kwon, Kwang-Hyun Cho

BMC Bioinform., 2007

2006

Nonlinear parametric regression in genetic programming.

Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

Nonlinear feature extraction using a neuro genetic hybrid.

Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Stock prediction based on financial correlation.

Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Evolutionary Ensemble for Stock Prediction.

Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation, 2004

Evolving Features in Neural Networks for System Identification.

Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation, 2004

2003

Assignment Copy Detection Using Neuro-genetic Hybrids.

Seung-Jin Yang, Yong-Geon Kim, Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation, 2003

Daily Stock Prediction Using Neuro-genetic Hybrids.

Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation, 2003

Problem-Independent Schema Synthesis for Genetic Algorithms.

Yong-Hyuk Kim, Yung-Keun Kwon, Byung Ro Moon

Proceedings of the Genetic and Evolutionary Computation, 2003

2002

A Genetic Hybrid For Critical Heat Flux Function Approximation.

Yung-Keun Kwon, Sung-Deok Hong, Byung Ro Moon

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002