My current research projects are funded by NIH-NIGMS and SLU-PRF grants. Open RA positions for undergraduate and graduate students are available.
Our research code and data are stored at the group GitHub
Peer-Reviewed Publications
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[*undergraduates, **graduate students supervised by Dr. Gong at Saint Louis University]
- Tong Si**, Yunge Wang**, Lingling Zhang, Evan Richmond*, Tae-Hyuk Ahn, Haijun Gong,
Multivariate time series change-point detection with a novel Pearson-like scaled Bregman divergence, Stats 7(2), 462-480 (2024) - Tong Si**, Zackary Hopkins**, John Yanev*, Jie Hou, Haijun Gong,
A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis PLOS ONE (2023) - Helen Richards*, Yunge Wang**, Tong Si**, Hao Zhang*, Haijun Gong,
Intelligent Learning and Verification of Biological Networks. Advances in Artificial Intelligence, Computation, and Data Science (2021) - W. Feng, Z. Yu, M. Kang, Haijun Gong, T.-H. Ahn,
Practical Evaluation of Different Omics Data Integration Methods. Studies in Computational Intelligence, International Workshop on Health Intelligence (W3PHAI'19) In conjunction with the 33rd AAAI Conference on Artificial Intelligence (AAAI-19) (2019) - Zi Wang*, Yun Guo*, Haijun Gong,
An Integrative Analysis of Time-varying Regulatory Networks from High-dimensional Data, IEEE International Conference on Big Data, Page 3798-3807 (2018)
- M. McCoy, A. Paul, M. Victor, M. Richner, H. Gabel, Haijun Gong, A. Yoo, T. Ahn (2018),
LONGO: an R package for interactive gene length dependent analysis for neuronal identity Bioinformatics, Volume 34, Issue 13, i422-i428, 2018.
- Y. Ma**, L. Feng*, Y. Guo, Haijun Gong (2016)
Statistical Analysis and Probabilistic Verification of Stress-induced Signaling Pathways, International Journal of Data Mining and Bioinformatics. Vol. 14, No. 2, 2016. [Code]
- Y. Ma**, L. Zhang, C. Geneus**, Haijun Gong (2015)
Weighted Gene Coexpression Network Analysis of Prostate Cancer, IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) [Code]
- Y. Ma**, K. Damazyn*, J. Klinger*, Haijun Gong (2015)
Inference and Verification of Probabilistic Graphical Models from High-dimensional Data, Lecture Notes in Bioinformatics, LNBI 9162 (DILS-2015) [Code] - Haijun Gong, J. Klinger*, K. Damazyn*, X. Li**, S. Huang* (2015)
A novel procedure for statistical inference and verification of gene regulatory subnetwork, BMC Bioinformatics V16:S7 [Code] - Haijun Gong, Lu Feng* (2014)
Computational Analysis of the Roles of ER-Golgi Network in the Cell Cycle. BMC Systems Biology, V8:S4 [Code] - Haijun Gong, Lu Feng* (2014)
Probabilistic Verification of ER Stress-induced Signaling Pathways, IEEE International Conference on Bioinformatics and Biomedicine (BIBM-2014). (acceptance rate: 19%) [Code]
- Haijun Gong, Tong Tong Wu,
Edmund Clarke (2014)
Pathway-gene identification for pancreatic cancer survival via doubly regularized Cox regression, BMC Systems Biology, Vol 8, S1:S3 - Haijun Gong, Tong Tong Wu, Edmund Clarke (2014)
Statistical Analysis of High-Dimensional Data for Pancreatic Cancer, Molecular Diagnostics and Treatment of Pancreatic Cancer: Systems and Network Biology Approaches (Chapter 6). Elsevier Academic Press - Haijun Gong (2013)
Analysis of Intercellular Signal Transduction in the Tumor Microenvironment, BMC Systems Biology, Vol 7, S3 [Code] - Haijun Gong, P. Zuliani, E. M. Clarke (2013)
Model checking of a synchronous diabetes-cancer logical network. Current Bioinformatics, Vol 8 - Haijun Gong, P. Zuliani, A. Komuravell, J. Faeder, E. Clarke (2012)
Computational Modeling and Verification of Signaling Pathways in Cancer. Lecture Notes in Computer Science, Vol 6479 - T. T. Wu, Haijun Gong, and E. Clarke (2011) A Transcriptome Analysis by Lasso Penalized Cox Regression for Pancreatic Cancer Survival. Journal of Bioinformatics and Computational Biology, Volume 9, Suppl. 1
- Haijun Gong, P. Zuliani, Q. Wang, E. M. Clarke (2011)
Formal Analysis for Logical Models of Pancreatic Cancer. 50th IEEE Conference on Decision and Control and European Control Conference(CDC-ECC-2011). - Haijun Gong, P. Zuliani, E. M. Clarke (2011)
Model Checking of a Diabetes-Cancer Model. International symposium on computational models for life sciences, AIP Conf. Proc. 1371. - Haijun Gong, Q. Wang, P. Zuliani, J. Faeder, M. Lotze, E. M. Clarke (2011)
Symbolic Model Checking of Signaling Pathways in Pancreatic Cancer. International Conference on Bioinformatics and Computational Biology (BiCoB-11). - Haijun Gong, P. Zuliani, A. Komuravell, J. Faeder, E. Clarke (2010)
Analysis and Verification of the HMGB1 Signaling Pathway. BMC Bioinformatics, 11 , suppl 7. Highly accessed [Best Paper Award] - Haijun Gong, Y. Guo, A. Linstedt, R. Schwartz (2010)
Discrete, Continuous and Stochastic Models of Protein Sorting in the Golgi. Physical Review E , Volume 81 - G. Ayorkor Korsah, J. Mostow, MB Dias, TM Sweet, S. Belousov, MF Dias, Haijun Gong (2010)
Improving Child Literacy in Africa: Experiments with an Automated Reading Tutor. Information Technologies and International Development - G. Ayorkor Mills-Tettey, J. Mostow, MB Dias, TM Sweet, S. Belousov, MF Dias, Haijun Gong (2009)
Improving Child Literacy in Africa: Experiments with an Automated Reading Tutor. International Conference on Information and Communication Technologies & Development - Haijun Gong, D. Sengupta, A. Linstedt, R. Schwartz (2008)
Simulated de novo Assembly of Golgi Compartments by Selective Cargo Capture During Vesicle Budding and Targeted Vesicle Fusion. Biophysical Journal , Volume 95 - Haijun Gong, J. Sun, D. Du (2002)
Analysis of Ds -> Phi Pi Beyond Naive Factorization. High Energy Physics and Nuclear Physics, Vol 26 - D. Du, Haijun Gong, J. Sun, D. Yang, G. Zhu (2002)
Phenomenological Analysis of Charmless Decays B -> PV with QCD Factorization. Physical Review D, Volume 65, 9 - D. Du, Haijun Gong, J. Sun, D. Yang, G. Zhu (2002)
Phenomenological Analysis of B -> PP Decays with QCD Factorization. Physical Review D, Volume 65, 7
2024
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2019
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2012
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