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
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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 treatment, Advances in Experimental Medicine and Biology, 2021;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 diseases, Advances in Experimental Medicine and Biology, 2021;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 Biology, 2021;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 Vlamos, Gene 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 |
