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Dong-Guk Shin
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Publications
- 2023
- [c43]Chenyu Zhang, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin:
Using Biological Processes as Prior Knowledge Identifies New Microglial Immune Signatures at Single Cell Level in Alzheimer's Disease. BIBM 2023: 3756-3763 - 2022
- [c42]Honglin Wang, Pujan Joshi, Chenyu Zhang, Peter F. Maye, David W. Rowe, Dong-Guk Shin:
rCom: a route-based framework inferring cell type communication and regulatory network using single cell data. BCB 2022: 27:1-27:4 - [c41]Chenyu Zhang, Pujan Joshi, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin:
Pola Viz Reveals Microglia Polarization at Single Cell Level in Alzheimer's Disease. BIBM 2022: 1387-1392 - 2021
- [j18]Yue Zhao, Dong-Guk Shin:
Deep Pathway Analysis V2.0: A Pathway Analysis Framework Incorporating Multi-Dimensional Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 373-385 (2021) - [c39]Pujan Joshi, Honglin Wang, Salvatore Jaramillo, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
Identification of Crosstalk between Biological Pathway Routes in Cancer Cohorts. BIBM 2021: 245-248 - [c38]Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Dong-Ju Shin, Dong-Guk Shin:
ctBuilder: A framework for building pathway crosstalks by combining single cell data with bulk cell data. BIBM 2021: 270-273 - 2020
- [c37]Pujan Joshi, Brent Basso, Honglin Wang, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
Identification of Key Biological Pathway Routes in Cancer Cohorts. BIBM 2020: 154-157 - [c36]Honglin Wang, Pujan Joshi, Seung-Hyun Hong, Peter F. Maye, David W. Rowe, Dong-Guk Shin:
cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets. BIBM 2020: 164-167 - [c34]Pujan Joshi, Honglin Wang, Brent Basso, Seung-Hyun Hong, Charles Giardina, Dong-Guk Shin:
A Framework for Route Based Pathway Analysis of Gene Expression Data. ICCBB 2020: 20-26 - 2019
- [c33]Yue Zhao, Pujan Joshi, Dong-Guk Shin:
Recurrent Neural Network for Gene Regulation Network Construction on Time Series Expression Data. BIBM 2019: 610-615 - 2016
- [c31]Yue Zhao, Tham H. Hoang, Pujan Joshi, Seung-Hyun Hong, Dong-Guk Shin:
Deep pathway analysis incorporating mutation information and gene expression data. BIBM 2016: 260-265 - 2013
- [c30]Pujan Joshi, Baikang Pei, Seung-Hyun Hong, Ivo Kalajzic, Dong-Ju Shin, David W. Rowe, Dong-Guk Shin:
A software framework integrating gene expression patterns, binding site analysis and gene ontology to hypothesize gene regulation relationships. BIBM 2013: 210-213 - 2012
- [j13]Baikang Pei, Dong-Guk Shin:
Reconstruction of Biological Networks by Incorporating Prior Knowledge into Bayesian Network Models. J. Comput. Biol. 19(12): 1324-1334 (2012) - 2010
- [j12]Saira Ali Kazmi, Yoo-Ah Kim, Dong-Guk Shin:
Meta analysis algorithms for microarray gene expression data using Gene Regulatory Networks. Int. J. Data Min. Bioinform. 4(5): 487-504 (2010) - [j11]Baikang Pei, David W. Rowe, Dong-Guk Shin:
Learning Bayesian networks with integration of indirect prior knowledge. Int. J. Data Min. Bioinform. 4(5): 505-519 (2010) - [c28]Baikang Pei, Dong-Guk Shin:
Reconstruction of Biological Networks Structure by Using Bayesian Network Models with a Two-step Learning Procedure. BIOCOMP 2010: 743-749 - 2009
- [j10]Lung-Yung Chu, Dong-Guk Shin:
An Improved Heuristic Approach for the Steiner Problem in Graphs. Int. J. Comput. Their Appl. 16(3): 154-170 (2009) - [j9]Dong-Guk Shin, Saira Ali Kazmi, Baikang Pei, Yoo-Ah Kim, Jeffrey Maddox, Ravi Nori, Alan Wong, Winfried Krueger, David W. Rowe:
Computing Consistency Between Microarray Data and Known Gene Regulation Relationships. IEEE Trans. Inf. Technol. Biomed. 13(6): 1075-1082 (2009) - [c27]Dong-Guk Shin, Seung-Hyun Hong, Pujan Joshi, Ravi Nori, Baikang Pei, Hsin-Wei Wang, Patrick Harrington, Lynn Kuo, Ivo Kalajzic, David W. Rowe:
PBC: A Software Framework Facilitating Pattern-Based Clustering for Microarray Data Analysis. IJCBS 2009: 30-36 - 2008
- [c26]Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nori, David W. Rowe, Hsin-Wei Wang, Alan Wong, Dong-Guk Shin:
Meta Analysis of Microarray Data Using Gene Regulation Pathways. BIBM 2008: 37-42 - [c25]Baikang Pei, David W. Rowe, Dong-Guk Shin:
Reverse Engineering of Gene Regulatory Network by Integration of Prior Global Gene Regulatory Information. BIBM 2008: 129-134 - 2006
- [c24]Dong-Guk Shin, John Bluis, Yoo Ah Kim, Winfried Krueger, Jeffrey Maddox, Ravi Nori, Nathan Viniconis, Hsin-Wei Wang, Alan Wong, David W. Rowe:
A Computational Inference Framework for analyzing Gene Regulation Pathway using Microarray Data. BIBE 2006: 299-306 - 2003
- [c23]John Bluis, Dong-Guk Shin:
Nodal Distance Algorithm: Calculating a Phylogenetic Tree Comparison Metri. BIBE 2003: 87-94 - 2001
- [c21]John Bluis, Ravi Nori, Hsin-Wei Wang, Pinglei Zhou, J. Peter Gogarten, Dong-Guk Shin:
Comparing Trees in a Phylogenetic Relationship Repository. BIBE 2001: 166-173 - 1999
- [c18]Wally Grajewski, Dong-Guk Shin, Lei Liu:
Xyntagma: a Graphical Query Interface for the ACeDB Genome Databases. CBMS 1999: 234- - [c17]Fei Shi, Dong-Guk Shin:
Centroid Trees with Application to String Processing. Stringology 1999: 61-72 - 1998
- [c16]Dong-Guk Shin, Lung-Yung Chu:
Establishing Logical Connectivity between Query Keywords and Database Contents. Canadian AI 1998: 45-59 - [c14]Dong-Guk Shin, Wally Grajewski, Lung-Yung Chu:
An epistemological display query interface. AVI 1998: 286-288 - [c13]Lung-Yung Chu, Dong-Guk Shin:
An effective heuristic algorithm for finding a steiner tree in graphs. CATA 1998: 121-124 - [c8]Dong-Guk Shin, Lei Liu, Leslie M. Loew, James C. Schaff:
Virtual Cell: A General Framework for Simulating and Visualizing Cellular Physiology. VDB 1998: 214-220
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