Scientific publications in peer reviewed international journals

·         Marios G. Krokidis. Identification of biomarkers associated with Parkinson’s disease by gene expression profiling studies and bioinformatics analysis. AIMS Neuroscience, 2019, 6: 333-345. http://www.aimspress.com/article/10.3934/Neuroscience.2019.4.333

·         Marios G. Krokidis, Themis Exarchos and Panagiotis Vlamos, Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression, AIMS Mathematical Biosciences and Engineering, 2021, 18: 1813-1832. http://www.aimspress.com/article/doi/10.3934/mbe.2021094

·         Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis Vlamos. A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes, Sensors, 2022, 22, 409. https://www.mdpi.com/1424-8220/22/2/409

 

Scientific publications in conferences proceedings

·         Marios G. Krokidis, Themis Exarchos and Panayiotis Vlamos, Bioinformatics approaches for Parkinson’s disease in clinical practice: Data-driven biomarkers and pharmacological treatmentAdvances in Experimental Medicine and Biology2021;1338:193-198. https://link.springer.com/chapter/10.1007/978-3-030-78775-2_23

·          Marios G. Krokidis, Biomarkers-driven analysis using high-throughput approaches in neuroinflammation and neurodegenerative diseasesAdvances in Experimental Medicine and Biology2021;1339:51-58. https://link.springer.com/chapter/10.1007/978-3-030-78787-5_8

·          Christos Tzouvelekis, Marios G. Krokidis, Themis Exarchos and Panayiotis Vlamos, Development of a protein biochip platform for Parkinson’s disease, Advances in Experimental Medicine and Biology2021;1338:175-179. https://link.springer.com/chapter/10.1007/978-3-030-78775-2_20

·          Marios Krokidis, George Dimitrakopoulos, Aristides Vrahatis, Themis Exarchos, Panagiotis Vlamos, Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson’s Disease Omics Data, 2021 IEEE International Conference on Big Data (Big Data), 4460-4463, 2021. https://ieeexplore.ieee.org/document/9671736

Book Chapters

·           Marios G. Krokidis, Themis Exarchos and Panayiotis VlamosGene expression profiling and bioinformatics analysis in neurodegenerative diseases, Springer Handbook in Computational Neurodegeneration, 2022, in press

Presentations in International Conferences

1.        Marios G. Krokidis, Themis Exarchos and Panayiotis Vlamos, Bioinformatics approaches of Parkinson’s disease in clinical practice: Data-driven biomarkers and pharmacological treatment, Genedis 2020, 8-11 October 2020, P38

2.        Marios G. Krokidis, Biomarker-driven analysis using high-throughput approaches in neuroinflammation and neurodegenerative diseases, Genedis 2020, 8-11 October 2020, P31

3.        Christos Tzouvelekis, Marios G. Krokidis, Themis Exarchos and Panayiotis Vlamos Development of a protein biochip platform for Parkinson’s disease, Genedis 2020, 8-11 October 2020, P107

4.        Marios Krokidis, George Dimitrakopoulos, Aristides Vrahatis, Themis Exarchos, Panagiotis Vlamos, Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson’s Disease Omics Data, 2021 IEEE International Conference on Big Data (Big Data), 15-18 December 2021

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