Seung-Hyun Hong

According to our database, Seung-Hyun Hong authored at least 14 papers between 2007 and 2024.

Collaborative distances:

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

2024

Leveraging Mutual Information for Functional Annotation Analysis of Microglia in Alzheimer's Disease.

Chenyu Zhang, Qingli Hu, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Using Biological Processes as Prior Knowledge Identifies New Microglial Immune Signatures at Single Cell Level in Alzheimer's Disease.

Chenyu Zhang, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes.

Sung-Kyu Lee, Seung-Hyun Hong, Won-Ho Jun, Youn-Sik Hong

Sensors, 2022

Sleep pattern analysis in unconstrained and unconscious state.

Won-Ho Jun, Sung-Kyu Lee, Seung-Hyun Hong, Woo-Chul Shin, Youn-Sik Hong

Proceedings of the International Conference on Electronics, Information, and Communication, 2022

Pola Viz Reveals Microglia Polarization at Single Cell Level in Alzheimer's Disease.

Chenyu Zhang, Pujan Joshi, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

ctBuilder: A framework for building pathway crosstalks by combining single cell data with bulk cell data.

Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Dong-Ju Shin, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Identification of Crosstalk between Biological Pathway Routes in Cancer Cohorts.

Pujan Joshi, Honglin Wang, Salvatore Jaramillo, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Framework for Route Based Pathway Analysis of Gene Expression Data.

Pujan Joshi, Honglin Wang, Brent Basso, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin

Proceedings of the ICCBB 2020: 4th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, 27 December, 2021, 2020

cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets.

Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Peter F. Maye, David W. Rowe, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Identification of Key Biological Pathway Routes in Cancer Cohorts.

Pujan Joshi, Brent Basso, Honglin Wang, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2016

Deep pathway analysis incorporating mutation information and gene expression data.

Yue Zhao, Tham H. Hoang, Pujan Joshi, Seung-Hyun Hong, Dong-Guk Shin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2013

A software framework integrating gene expression patterns, binding site analysis and gene ontology to hypothesize gene regulation relationships.

Pujan Joshi, Baikang Pei, Seung-Hyun Hong, Ivo Kalajzic, Dong-Ju Shin, David W. Rowe, Dong-Guk Shin

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2009

PBC: A Software Framework Facilitating Pattern-Based Clustering for Microarray Data Analysis.

Dong-Guk Shin, Seung-Hyun Hong, Pujan Joshi, Ravi Nori, Baikang Pei, Hsin-Wei Wang, Patrick Harrington, Lynn Kuo, Ivo Kalajzic, David W. Rowe

Proceedings of the International Joint Conferences on Bioinformatics, 2009

2007

The recent growth of the internet and changes in household-level demand for entertainment.

Seung-Hyun Hong

Inf. Econ. Policy, 2007