Serdar Bozdag | BioDiscovery Institute
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Serdar Bozdag

Associate Professor

Dr. Serdar Bozdag received his BS degree in Computer Engineering at Marmara University and Ph.D. degree in Computer Science at the University of California, Riverside. Prior to joining Marquette University, Dr. Bozdag was a postdoctoral fellow in National Cancer Institute at the National Institutes of Health. In 2012, he joined Marquette University as an Assistant Professor in the Department of Mathematics, Statistics and Computer Science. In 2015, he received the Way Klingler Young Scholar Award. In 2019, he received the NIH's prestigious Maximizing Investigators' Research Award (MIRA), a 5-year single-PI research grant. In 2020, he joined UNT as an Associate Professor in the Department of Computer Science and Engineering and the Department of Mathematics with an affiliation with the BioDiscovery Institute. Dr. Bozdag has served as a Program Committee member in several bioinformatics conferences including ISMB, ACM-BCB, RECOMB/ISCB Conference on Regulatory & Systems Genomics and the Great Lakes Bioinformatics Conference. He is an editorial board member of PLOS ONE and Cancer Informatics journals.

Dr. Bozdag's research goal is to develop open source integrative computational tools to analyze high dimensional biological, clinical and environmental exposure datasets to infer context-specific gene regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.


  • Developing machine learning and network science methods to integrate multi-omics data
  • Inferring gene regulatory interactions and modules
  • Prioritization of disease- and trait-specific genes
  • Precision medicine


  • S. Bozdag (PI), "Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response," Sponsored by NIH (NIGMS, MIRA R35), Total Amount Awarded: $1,787,536. (August 2019 - July 2024).


  1. Milali, Masabho P., Samson S. Kiware, Nicodem J. Govella, Fredros Okumu, Naveen Bansal, S. Bozdag, Jacques D. Charlwood, et al. "An Autoencoder and Artificial Neural Network-Based Method to Estimate Parity Status of Wild Mosquitoes from near-Infrared Spectra." PLOS ONE 15, no. 6 (June 18, 2020): e0234557.
  2. B. Bose and S. Bozdag, miRDriver: A Tool to Infer Copy Number Derived miRNA-Gene Networks in Cancer, In Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) (pp. 366-375). New York, NY, USA, 2019 (Acceptance rate: 26%).
  3. C. Dursun, N. Shimoyama, M. Shimoyama, M. Schläppi, and S. Bozdag, PhenoGeneRanker: A Tool for Gene Prioritization Using Complete Multiplex Heterogeneous Networks, In Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) (pp. 279-288). New York, NY, USA, 2019 (Acceptance rate: 26%).
  4. K. Stamm, A. Tomita-Mitchell, and S. Bozdag, GSEPD: A Bioconductor package for RNA-seq gene set enrichment and novel projection display, BMC Bioinformatics, 2019, 20(1), 115.
  5. D. Do and S. Bozdag, Cancerin: A computational pipeline to infer cancer-associated ceRNA interaction networks, PLOS Computational Biology, 2018 14(7): e1006318.
  6. B. Baur, S. Bozdag, ProcessDriver: A computational pipeline to identify copy number drivers and associated disrupted biological processes in cancer, Genomics, 2017, 109(3-4): 233-240.
  7. M. Muñoz-Amatriaín, H. Mirebrahim, P. Xu, S. Wanamaker, M. C. Luo, H. Alhakami, M. Alpert, I. Atokple, B. Batieno, O. Boukar, S. Bozdag, N. Cisse, I. Drabo, J. Ehlers, A. Farmer, C. Fatokun, Y. Gu, Y.N. Guo, B. L. Huynh, S. Jackson, F. Kusi, C. Lawley, M. Lucas, Y. Ma, M. Timko, J. Wu, F. You, P. Roberts, S. Lonardi, T. J. Close, Genome resources for climate-resilient cowpea, an essential crop for food security, The Plant Journal, 89.5 (2017): 1042-1054.
  8. M. Muñoz-Amatriaín, S. Lonardi, M. C. Luo, K. Madishetty, J. T. Svensson, M. J. Moscou, S. Wanamaker, T. Jiang, A. Kleinhofs, G. J. Muehlbauer, R. P. Wise, N. Stein, Y. Ma, E. Rodriguez, D. Kudrna, P. R. Bhat, S. Chao, P. Condamine, S. Heinen, J. Resnik, R. Wing, H. N. Witt, M. Alpert, M. Beccuti, S. Bozdag, F. Cordero, H. M. R. Ounit, Y. Wu, F. You, J. Zheng, H. Simková, J. Dolezel, J. Grimwood, J. Schmutz, D. Duma, L. Altschmied, T. Blake, P. Bregitzer, L. Cooper, M. Dilbirligi, A. Falk, L. Feiz, A. Graner, P. Gustafson, P. M. Hayes, P. Lemaux, J. Mammadov, and T. J. Close, Sequencing of 15 622 gene-bearing BACs clarifies the gene-dense regions of the barley genome, The Plant Journal, 2015 84.1: 216-227. 10.1111/tpj.12959.
  9. B. Baur and S. Bozdag, A canonical correlation analysis-based dynamic Bayesian network prior to infer gene regulatory networks from multiple types of biological data, Journal of Computational Biology, 2015 22.4: 289-299. 10.1089/cmb.2014.0296.
  10. S. Bozdag, A. Li, G. Riddick, Y. Kotliarov, M. Baysan, F. M. Iwamoto, M. C. Cam, S. Kotliarova, H. A. Fine, Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels, PLOS ONE, 2013 8(4): e62982.
  11. S. Lonardi, D. Durma, M. Alpert, F. Cordero, M. Beccuti, P. R. Bhat, Y. Wu, G. Ciardo, B. Alsaihati, Y. Ma, S. Wanamaker, J. Resnik, S. Bozdag, M. C. Luo, T. J. Close, Combinatorial pooling enables selective sequencing of the barley gene space, PLOS Computational Biology, 2013 9(4): e1003010.
  12. S. Bozdag, A. Li, S. Wuchty, H. A. Fine, FastMEDUSA: A parallelized tool to infer gene regulatory networks, Bioinformatics, 2010, 26(14): 1792-1793.
  13. T. J. Close, P. R. Bhat, S. Lonardi, Y. Wu, N. Rostoks, L. Ramsay, A. Druka, N. Stein, J. T. Svensson, S. Wanamaker, S. Bozdag, M. L. Roose, M. J. Moscou, S. Chao, R. Varshney, P. Szucs, K. Sato, P. M. Hayes, D. E. Matthews, A. Kleinhofs, G. J. Muehlbauer, J. DeYoung, D. F. Marshall, K. Madishetty, R. D. Fenton, P. Condamine, A. Graner and R. Waugh, Development and implementation of high-throughput SNP genotyping in barley, BMC Genomics, 2009, 10:582.
  14. S. Bozdag, T. J. Close, S. Lonardi, A compartmentalized approach to the assembly of physical maps, BMC Bioinformatics, 2009, 10:217.
  15. S. Bozdag, T. J. Close, S. Lonardi, Computing the minimal tiling path from a physical map by integer linear programming, Proceedings of Workshop on Algorithms in Bioinformatics (WABI'08), pp. 148-161 Karlsruhe, Germany, 2008.
  16. S. Bozdag, T. J. Close, S. Lonardi, A compartmentalized approach to the assembly of physical maps, Proceedings of IEEE International Symposium on Bioinformatics & Bioengineering (BIBE'07), pp. 218-225, Boston, MA, 2007.

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