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For: Krokidis MG, Exarchos TP, Vlamos P. Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression. Math Biosci Eng 2021;18:1813-32. [PMID: 33757212 DOI: 10.3934/mbe.2021094] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Krokidis MG, Dimitrakopoulos GN, Vrahatis AG, Tzouvelekis C, Drakoulis D, Papavassileiou F, Exarchos TP, Vlamos P. A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes. Sensors (Basel) 2022;22:409. [PMID: 35062370 DOI: 10.3390/s22020409] [Reference Citation Analysis]
2 Barrera-vázquez OS, Sulvaran-guel E, Pedraza-vázquez G, Gomez-verjan JC. Genomic Surveillance in Public Health. Principles of Genetics and Molecular Epidemiology 2022. [DOI: 10.1007/978-3-030-89601-0_17] [Reference Citation Analysis]
3 Krokidis MG, Dimitrakopoulos G, Vrahatis AG, Exarchos TP, Vlamos P. Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson’s Disease Omics Data. 2021 IEEE International Conference on Big Data (Big Data) 2021. [DOI: 10.1109/bigdata52589.2021.9671736] [Reference Citation Analysis]
4 Krokidis MG, Exarchos TP, Vlamos P. Gene Expression Profiling and Bioinformatics Analysis in Neurodegenerative Diseases. Handbook of Computational Neurodegeneration 2021. [DOI: 10.1007/978-3-319-75479-6_57-1] [Reference Citation Analysis]