20 International Refereed Journals
26 Refereed Conference Proceedings
7 Book Chapters
1 Book
12 Conference publications (short papers or abstracts)
Google scholar: https://scholar.google.gr/citations?user=D_-AvkUAAAAJ&hl=el (778 citations; accessed 23/10/2024).
ORCID: https://orcid.org/0000-0002-7817-9552
International Refereed Journals (J)
J20. Paplomatas, P., Lazaros, K., Dimitrakopoulos, G. N., & Vrahatis, A. (2024). Feature selection in single-cell RNA sequencing data: a comprehensive evaluation, Academia Biology, 2(3). https://doi.org/10.20935/AcadBiol7324
J19. O. Giannakopoulou, I. Kakkos G. N. Dimitrakopoulos, M. Tarousi, Y. Sun, A. Bezerianos, D. D. Koutsouris, G. K. Matsopoulos. Individual Variability in Brain Connectivity Patterns and DrivingFatigue Dynamics. Sensors, 24(12), 3894, 2024. https://doi.org/10.3390/s24123894
J18. G. N. Dimitrakopoulos, M. Di Miceli, Editorial: Bioinformatics for modern neuroscience, Frontiers in Computational Neuroscience, 18, 2024, https://doi.org/10.3389/fncom.2024.1385658
J17. T. Exarchos, G. N. Dimitrakopoulos, A. G. Vrahatis, G. Chrysovitsiotis, Z. Zachou, E. Kyrodimos, Lip-Reading Advancements: A 3D CNN-LSTM Fusion for Precise Word Recognition, BioMedInformatics, 4, 410–422, 2024. https://doi.org/10.3390/biomedinformatics4010023.
J16. M. G. Krokidis¸ G. N. Dimitrakopoulos, A. G. Vrahatis, T. Exarchos, P. Vlamos, Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases, Frontiers in Computational Neuroscience, 17, 2024, https://doi.org/10.3389/fncom.2023.1323182.
J15. O. Giannakopoulou, I. Kakkos, G. N. Dimitrakopoulos, Y. Sun, G. K. Matsopoulos, D. D. Koutsouris, Time-Dependent Adaptations of Brain Networks in Driving Fatigue, Engineering Proceedings 50(1), 6, 2023, https://doi.org/10.3390/engproc2023050006
J14. K. Lazaros, G. N. Dimitrakopoulos, P. Vlamos and A. G. Vrahatis, Exploring the Impact of Gene Selection on Single-Cell RNA-Seq data Integration, Engineering Proceedings Engineering Proceedings 50(1), 12, 2023, https://doi.org/10.3390/engproc2023050012.
J13. G. N. Dimitrakopoulos, A. G. Vrahatis, T. Exarchos, M. Krokidis, P. Vlamos, Drug and Protein Interaction Network Construction for Drug Repurposing in Alzheimer’s Disease, Future Pharmacology, 3(4), 731-741, 2023. https://doi.org/10.3390/futurepharmacol3040045
J12. G. N. Dimitrakopoulos, I. Kakkos, A. Anastasiou, A. Bezerianos, Y. Sun, G.K. Matsopoulos, Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms. Applied Sciences, 13(4), 2023, 2129. https://doi.org/10.3390/app13042129 [IF 2.838]J11. M. G. Krokidis, G. N. Dimitrakopoulos, A. G. Vrahatis, C. Tzouvelekis, D. Drakoulis, F., Papavassileiou, T. P. Exarchos, P. Vlamos, A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes. Sensors, 22(2), 409, 2022. https://doi.org/10.3390/s22020409 [IF 3.847]J10. G. N. Dimitrakopoulos, M. I. Klapa, N. K. Moschonas, How Far Are We from the Completion of the Human Protein Interactome Reconstruction?. Biomolecules, 12(1), 140, 2022. https://doi.org/10.3390/biom12010140 [IF 6.064]J09. I. Kakkos, G. N. Dimitrakopoulos, H. Hu, C. Li, G. K. Matsopoulos, A. Bezerianos, Y. Sun, EEG fingerprints of task-independent mental workload discrimination, IEEE Journal of Biomedical And Health Informatics, 25(1), pp. 3824 – 3833, 2021. https://doi.org/10.1109/JBHI.2021.3085131 [IF 5.223] (Issue front cover)J08. G. N. Dimitrakopoulos, XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression. Computation, 9(4), 48, 2021. https://doi.org/10.3390/computation9040048 J07. G. N. Dimitrakopoulos, M. I. Klapa, N. Moschonas, PICKLE 3.0: Enriching the human meta-database with the mouse protein interactome extended via mouse-human orthology, Bioinformatics, 37(1), pp. 145-146, 2021. https://doi.org/10.1093/bioinformatics/btaa1070 [IF 6.937]J06. J. Li, G. N. Dimitrakopoulos, P. Thangavel, G. Chen, Y. Sun, Z. Guo, H. Yu, N. Thakor, A. Bezerianos, What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study, IEEE Access, 7, pp. 143935-143946, 2019. https://doi.org/10.1109/ACCESS.2019.2945602 [IF 3.367]J05. I. Kakkos, G. N. Dimitrakopoulos, , L. Gao, Y. Zhang, P. Qi, G. K. Matsopoulos, N. Thakor, A. Bezerianos, Y. Sun, Mental Workload Drives Different Reorganizations of Functional Cortical Connectivity Between 2D and 3D Simulated Flight Experiments, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(9), pp. 1704-1713, 2019. https://doi.org/10.1109/TNSRE.2019.2930082 [IF 3.802]J04. G. N. Dimitrakopoulos, I. Kakkos, Z. Dai, H. Wang, K. Sgarbas, N. Thakor, A. Bezerianos, Y. Sun, Functional connectivity analysis of mental fatigue reveals different network topological alterations between driving and vigilance tasks, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(4), pp. 740-749, 2018. https://doi.org/10.1109/TNSRE.2018.2791936 [IF 3.802] (Issue front cover)J03. G. Dimitrakopoulos, I. Kakkos, Z. Dai, J. Lim, A. Bezerianos, Y. Sun, Task-independent mental workload classification based upon common multi-band EEG cortical connectivity, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(11), pp. 1940-1949, 2017. https://doi.org/10.1109/TNSRE.2017.2701002 [IF 3.802]J02. K. Dimitrakopoulou, G. N. Dimitrakopoulos, E. Wilk, C. Tsimpouris, K. Sgarbas, K. Schughart, A. Bezerianos, Influenza A Immunomics: The Dynamic Pathway Interplay in Host Response to H1N1 Infection, OMICS: A Journal of Integrative Biology. 18(3), pp. 167-183, Mar. 2014. https://doi.org/10.1089/omi.2013.0062 [IF: 2.529]J01. K. Dimitrakopoulou, G. N. Dimitrakopoulos, K. Sgarbas, A. Bezerianos, Tamoxifen Integromics and Personalized Medicine: Dynamic Modular Transformations Underpinning Response to Tamoxifen in Breast Cancer Treatment, OMICS: A Journal of Integrative Biology. 18(1), pp. 15-33, Jan. 2014. https://doi.org/10.1089/omi.2013.0055 [IF: 2.529]BC7. D. E. Koumadorakis, G. N. Dimitrakopoulos, T. P. Exarchos, P. Vlamos, A. G. Vrahatis, Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference. In: Maglogiannis, I., Iliadis, L., Karydis, I., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations, AIAI 2024 IFIP WG 12.5 International Workshops. IFIP Advances in Information and Communication Technology, 715, 205-260, 2024. Springer, Cham. https://doi.org/10.1007/978-3-031-63227-3_17
BC6. D. E. Koumadorakis, M. G. Krokidis, G. N. Dimitrakopoulos, A. G. Vrahatis. A Consensus Gene Regulatory Network for Neurodegenerative Diseases Using Single-Cell RNA-Seq Data. In: Vlamos, P. (eds) GeNeDis 2022. Advances in Experimental Medicine and Biology, vol 1423 (2023). Springer, Cham. https://doi.org/10.1007/978-3-031-31978-5_20
BC5. I. Aslanis, M. G. Krokidis, G. N. Dimitrakopoulos, A. G. Vrahatis, Identifying Network Biomarkers for Alzheimer’s Disease Using Single-Cell RNA Sequencing Data. In: Vlamos, P. (eds) GeNeDis 2022. Advances in Experimental Medicine and Biology, vol 1423 (2023). Springer, Cham. https://doi.org/10.1007/978-3-031-31978-5_19
BC4. G. Mantellos, T. P. Exarchos, G. N. Dimitrakopoulos, P. Vlamos, N. Papastamatiou, K. Karaiskos, P. Minos, T. Alexandridis, S. Axiotopoulos, D. Tsakiridis, V. Avramoudis, A. Vasiliadis, S. Stagakis, Integrating Wearable Sensors and Machine Learning for the Detection of Critical Events in Industry Workers, In: Vlamos, P. (eds) GeNeDis 2022. Advances in Experimental Medicine and Biology, vol 1424. Springer, Cham. https://doi.org/10.1007/978-3-031-31982-2_23
BC3. G. N. Dimitrakopoulos (2023). From raw EEG signals to brain networks: An EEGLAB tutorial, In: Vlamos, P., Kotsireas, I.S., Tarnanas, I. (eds) Handbook of Computational Neurodegeneration. Springer, Cham. https://doi.org/10.1007/978-3-319-75479-6_26-1
BC2. D.E. Koumadorakis, G. N. Dimitrakopoulos, M. G. Krokidis, A. G. Vrahatis (2023). Gene Regulatory Network Reconstruction Using Single-Cell RNA-Sequencing. In: Vlamos, P., Kotsireas, I.S., Tarnanas, I. (eds) Handbook of Computational Neurodegeneration. Springer, Cham. https://doi.org/10.1007/978-3-319-75479-6_18-1
BC1. I. Kakkos, S. T. Miloulis, K. Gkiatis, G. N. Dimitrakopoulos, G. K. Matsopoulos (2020). Human–Machine Interfaces for Motor Rehabilitation. In: Maglogiannis I., Brahnam S., Jain L. (eds) Advanced Computational Intelligence in Healthcare-7. Studies in Computational Intelligence, vol 891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61114-2_1
B1. A. G. Vrahatis, G. N. Dimitrakopoulos, P. Vlamos, Modelling and Analysis of Complex Networks in Molecular Biology and Neurosciences (Greek: Μοντελοποίηση και ανάλυση πολύπλοκων δικτύων της Μοριακής Βιολογίας και των Νευροεπιστημών), in press, 2024.
Refereed Conference Proceedings (C)
C26. G. N. Dimitrakopoulos, K. Lazaros, M. Krokidis, T. Exarchos, A. G. Vrahatis, P. Vlamos, A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing, 2023 IEEE Int. Conf. on (Big Data 2023), 15-18 Dec. 2023, Sorrento, Italy.
C25. M. Krokidis, G. N. Dimitrakopoulos, T. Exarchos, A. G. Vrahatis, P. Vlamos, Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease, 2023 IEEE Int. Conf. on (Big Data 2023), 15-18 Dec. 2023, Sorrento, Italy.
C24. M. Krokidis, A. Vrahatis, G. N. Dimitrakopoulos, K. Skolariki, P. Vlamos, T. Exarchos Structural simulations predicting protein folding in Alzheimer's disease, 2nd International Conference on Chemo and Bioinformatics, September 28-29, 2023. Kragujevac, Serbia.
C23. G. Ν. Dimitrakopoulos, K. Lazaros, A. G. Vrahatis, M. Krokidis, K. Skolariki, P. Vlamos, T. Exarchos, A Machine Learning approach combining omics data for Alzheimer’s Disease analysis, 2nd International Conference on Chemo and Bioinformatics, September 28-29, 2023. Kragujevac, Serbia.
C22. M. G. Krokidis, G. N. Dimitrakopoulos, A. G. Vrahatis, T. P. Exarchos, P. Vlamos, Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson’s Disease Omics Data. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 4460-4463). IEEE, 2021.C21. A. Karampasi, I. Kakkos, S.-T. Miloulis , I. Zorzos, G. N. Dimitrakopoulos, K. Giatis, , P. Asvestas, G. Matsopoulos, A Machine Learning fMRI Approach in the Diagnosis of Autism, 2020 IEEE Int. Conf. on Big Data (IEEE Big Data 2020), 10-13 December 2020, Virtual.C20. S.-T. Miloulis, I. Kakkos, G. N. Dimitrakopoulos, Y. Sun, I. Karanasiou, P. Asvestas, E.-C. Ventouras, G. Matsopoulos, Evaluating memory and cognition via a wearable EEG system: a preliminary study, 9th EAI Int. Conf. on Wireless Mobile Comm. and Healthcare (EAI MobiHealth 2020), 19-20 Nov. 2020, Virtual, Springer Nature, p.52-66.C19. A. G. Vrahatis, G. N. Dimitrakopoulos, S. K. Tasoulis, S. V. Georgakopoulos, V. P. Plagianakos, Single-cell regulatory network inference and clustering from high-dimensional sequencing data, IEEE Int. Conf. on Big Data (BigData), 9-12 Dec. 2019, Los Angeles, USA, pp. 2782-2789.C18. A. G. Vrahatis, G. N. Dimitrakopoulos, S. K. Tasoulis, V. P. Plagianakos, Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces, IEEE 19th Int. Conf. on Bioinformatics and Bioengineering (BIBE), 28-30 Oct. 2019, Athens, Greece, pp. 846-849.C17. A. G. Vrahatis, G. N. Dimitrakopoulos, S. K. Tasoulis, V. P. Plagianakos, A single-cell Systems Biology approach for disease-specific subpathway extraction, IEEE Conf. on Comp. Intell. in Bioinformatics and Comp. Biol. (CIBCB), 9-11 July 2019, Siena, Italy, 18901895. C16. A. G. Vrahatis, S. K. Tasoulis, G. N. Dimitrakopoulos, V. P. Plagianakos, Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances, IEEE Conf. on Comp. Intell. in Bioinformatics and Comp. Biol. (CIBCB), 9-11 July 2019, Siena, Italy, 18888784. C15. G.N. Dimitrakopoulos, A. Gioutlakis, M.I. Klapa, N.K. Moschonas, Evaluating the expansion of the experimentally determined human protein interactome using the PICKLE meta-database, 12th Panhellenic Scientific Conference in Chemical Engineering, 29-31 May 2019, Athens. C14. G. N. Dimitrakopoulos, A. G. Vrahatis, V. Plagianakos, K. Sgarbas, Pathway analysis using XGBoost classification in Biomedical Data, Proceedings of the 10th Hellenic Conference on Artificial Intelligence (SETN2018), 9-12 July, 2018, Patras, Greece.C13. G. N. Dimitrakopoulos, I. Kakkos, A. G. Vrahatis, K. Sgarbas, J. Li, Y. Sun, A. Bezerianos, Driving Mental Fatigue Classification Based on Brain Functional Connectivity, International Conference on Engineering Applications of Neural Networks (EANN) 2017, Aug. 25-27, 2017, Athens, Greece, Communications in Computer and Information Science, 744, pp. 465-474, Springer Cham, 2017. https://doi.org/10.1007/978-3-319-65172-9_39C12. G. N. Dimitrakopoulos, I. Kakkos, N. V. Thakor, A. Bezerianos, Y. Sun, A mental fatigue index based on regression using mulitband EEG features with application in simulated driving, Engineering in Medicine and Biology Society (EMBC), 2017 IEEE 39th Annual International Conference of the, Jul. 11-15, 2017, Jeju Island, S. Korea, IEEE, 2017. C11. J. Chai, G. Chen, P. Thangavel, G. N. Dimitrakopoulos, I. Kakkos, Y. Sun, Z. Dai, H. Yu, N. Thakor, A. Bezerianos, J. Li, Identification of gait-related brain activity using electroencephalographic signals, Neural Engineering (NER), 2017 8th International IEEE/EMBS Conference on, May 25-28, 2017, Shanghai, China, pp. 548-551, IEEE 2017.C10. G. N. Dimitrakopoulos, P. Balomenos, A. G. Vrahatis, K. Sgarbas, A. Bezerianos, Identifying disease network perturbations through regression on gene expression and pathway topology analysis, Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the, 16-20 Aug 2016, Orlando, USA, pp. 5969-5972, IEEE 2016. https://doi.org/10.1109/EMBC.2016.7592088C09. A. G. Vrahatis, G. N. Dimitrakopoulos, A. K. Tsakalidis, A. Bezerianos, Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology, Engineering in Medicine and Biology Society (EMBC), 2015 IEEE 37th Annual International Conference of the, Aug. 25-29, 2015, Chicago, USA, pp.3997-4000, IEEE 2015.C08. G. N. Dimitrakopoulos, A. G. Vrahatis, P. Balomenos, K. Sgarbas, A. Bezerianos, Age-related subpathway detection through meta-analysis of multiple gene expression datasets, Digital Signal Processing (DSP), 2015 IEEE International Conference on, Jul. 21-24, 2015, Singapore, pp. 539-542, IEEE 2015.C07. K. Dimitrakopoulou, A. G. Vrahatis, G. N. Dimitrakopoulos, A. Bezerianos, Aging Integromics: Module-Based Markers of Heart Aging from Multi-omics Data, The 15th International Conference on Biomedical Engineering (ICBME) 2013, Dec. 4-7, 2013, Singapore, IFMBE Proceedings, 43, pp. 104-107, Springer Cham, 2013. https://doi.org/10.1007/978-3-319-02913-9_27C06. G. N. Dimitrakopoulos, K. Dimitrakopoulou, I. A. Maraziotis, K. Sgarbas, A. Bezerianos, Supervised Method for Construction of microRNA-mRNA Networks: Application in Cardiac Tissue Aging Dataset, Engineering in Medicine and Biology Society (EMBC), 2014 IEEE 36th Annual International Conference of the, Aug. 26-30, 2014, Chicago, USA, IEEE 2014.C05. G. N. Dimitrakopoulos, I. A. Maraziotis, K. Sgarbas, A. Bezerianos, A Clustering based Method Accelerating Gene Regulatory Network Reconstruction, International Conference on Computational Science (ICCS) 2014, Cairns, Australia, Procedia Computer Science, 29, pp. 1993-2002, 2014. https://doi.org/10.1016/j.procs.2014.05.183C04. A. G. Vrahatis, K. Dimitrakopoulou, G. N. Dimitrakopoulos, K. N. Sgarbas, A. K. Tsakalidis, A. Bezerianos, Network-based modular markers of aging across different tissues, XIII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) 2013, Sep. 25-28, 2013, Sevilla, Spain, IFMBE Proceedings, 41, pp. 1849-1852, Springer Cham, 2014. https://doi.org/10.1007/978-3-319-00846-2_456This paper won the third award at the Young Investigator Competition!C03. G. Dimitrakopoulos, K. Sgarbas, K. Dimitrakopoulou, A. Dragomir, A. Bezerianos, I. A. Maraziotis, Multi-scale modeling of Gene Regulatory Networks via integration of temporal and topological biological data. Engineering in Medicine and Biology Society (EMBC), 2012 IEEE 34th Annual International Conference of the, Aug. 28 - Sep. 1, 2012, San Diego, USA, pp.1242-1245, IEEE 2012.C02. K. Dimitrakopoulou, G. Dimitrakopoulos, E. I. Zacharaki, I. A. Maraziotis, K. Sgarbas, A. Bezerianos, Revealing the dynamic modularity of composite biological networks in breast cancer treatment, Engineering in Medicine and Biology Society (EMBC), 2012 IEEE 34th Annual International Conference of the, Aug. 28 - Sep. 1, 2012, San Diego, USA, pp.1242-1245, IEEE 2012.C01. I. A. Maraziotis, G. Dimitrakopoulos, A. Bezerianos, Gene Ontology Semi-supervised Possibilistic Clustering of Gene Expression Data, 7th Hellenic Conference on AI (SETN) 2012, May 28-31, 2012, Lamia, Greece, Lecture Notes in Computer Science, vol. 7297, pp. 262–269, Springer-Verlag Berlin Heidelberg, 2012. https://doi.org/10.1007/978-3-642-30448-4_33Other Conference publications (Short Paper or Abstract reviewed) (O)
O12. G. N. Dimitrakopoulos, M.I. Klapa, N. K. Moschonas, Enriching PICKLE meta-database with the mouse protein interactome, ELIXIR-GR All Hands Meeting 2020, 22 September 2020, Virtual.O11. G.N. Dimitrakopoulos, A. Gioutlakis, M.I. Klapa, N.K. Moschonas, Unraveling the way of expansion of the experimentally supported human protein interactome using the PICKLE meta-database, Conference of the Hellenic Society for Computational Biology and Bioinformatics (HSCBB19), 8-10 December 2019, Patras, Greece.O10. G. N. Dimitrakopoulos, Yu Sun, K. Ardian, N. Thakor, A. Bezerianos, A method for cross-task mental workload classification based on brain connectivity, Society of Applied Neuroscience 2016 Meeting, Oct. 6-9, 2016, Corfu, Greece, Frontiers in Human Neuroscience, 2016. https://doi.org/10.3389/conf.fnhum.2016.220.00002 O9. A. Bezerianos, A. G.Vrahatis, P. Balomenos, G. N. Dimitrakopoulos, Deciphering the Complexity of Human Diseases via Network Medicine, Advanced Health Informatics, Gordon Research Conference, Jul. 17-22, 2016, Hong Kong, China, 2016.O8. A. G. Vrahatis, G. N. Dimitrakopoulos, A. K. Tsakalidis, A. Bezerianos, Cardiac aging signatures in the form of network communities, Biology of Ageing Conference, Oct. 22-24, 2015, Singapore, Singapore, 2015.O7. G. N. Dimitrakopoulos, A. G. Vrahatis, K. Sgarbas, A. Bezerianos, Gene Expression Trend Analysis in Aging, 6th Panhellenic Conference on Biomedical Technology, May 6-8, 2015, Athens, Greece, 2015.O6. A. G. Vrahatis, G. N. Dimitrakopoulos, A. Tsakalidis, A. Bezerianos, Structural and Functional Communities of Longevity-associated Genes in Signalling Pathways, 6th Panhellenic Conference on Biomedical Technology, May 6-8, 2015, Athens, Greece, 2015.O5. G. N. Dimitrakopoulos, K. Icay, K. Dimitrakopoulou, I. Hovatta, A. Bezerianos, Deciphering anxiety mechanisms through an ensemble of gene network inference methods, Annual Conference of the German Genetics Society (GfG), Sep. 23–25, 2013, Braunschweig, Germany, 2013.O4. G. N. Dimitrakopoulos, K. Dimitrakopoulou, A. G. Vrahatis, Κ. Ν. Sgarbas, A. Bezerianos, An integrative meta-analysis method to reveal age-related cross-tissue pathways, 27th International Mammalian Genome Conference, Sep. 15-18, 2013, Salamanca, Spain, 2013.O3. K. Dimitrakopoulou, G. N. Dimitrakopoulos, K. Sgarbas, A. Bezerianos, Revealing aging mechanisms from ensemble gene network inference methods, (IEEE EMBC 2013, Jul. 3-7, 2013, Osaka, Japan), Transactions of Japanese Society for Medical and Biological Engineering, 51, No. Supplement p. R-161, 2013. https://doi.org/10.11239/jsmbe.51.R-161O2. G. N. Dimitrakopoulos, A. G. Vrahatis, K. Dimitrakopoulou, A. K. Tsakalidis, K. Sgarbas, A. Bezerianos, Module-Based Cross-Tissue Pathway Identification in Aging, (IEEE EMBC 2013, Jul. 3-7, 2013, Osaka, Japan), Transactions of Japanese Society for Medical and Biological Engineering, 51, No. Supplement p. R-170, 2013. https://doi.org/10.11239/jsmbe.51.R-170O1. K. Dimitrakopoulou, G. Dimitrakopoulos, C. Tsimpouris, K. Sgarbas, A. Bezerianos, Exploring the temporal dynamics of immune system in response to Influenza A (H1N1) virus through dynamic gene network reconstruction methods, Proceedings of the 6th conference of the Hellenic Society for Computational Biology & Bioinformatics 2011 (HSCBB11), Oct. 7-9, 2011, Patras, Greece, 2011.