Titlebook: GeNeDis 2020; Computational Biolog Panayiotis Vlamos Conference proceedings 2021 The Editor(s) (if applicable) and The Author(s), under exc

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978-3-030-78777-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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GeNeDis 2020978-3-030-78775-2Series ISSN 0065-2598 Series E-ISSN 2214-8019

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Decision Support System for Breast Cancer Detection Using Biomarker Indicators,ression, Naive Bayes, Support Vector Machine and Gradient Boosting Classification, all of which are used for the classification of new patients based on a dataset that includes information from previous breast cancer incidents. The results depict that the optimal algorithm based on the current metho

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Systems Approaches in the Common Metabolomics in Acute Lymphoblastic Leukemia and Rhabdomyosarcoma known functions, in order to find common patterns in metabolism-related mechanisms. Species expression manifested very interesting dynamics, and we were able to model the system with elliptical/helical functions. We discuss the results of our analysis in the context of the commonly occurring genes b

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Bioinformatics Analyses of Spatial Peripheral Circadian Clock-Mediated Gene Expression of Glucocorte Bayes classification, and polynomial regression analyses. We determined expression patterns of Clock-related genes, unraveled the dynamics of spatial data, and defined the temporal function of Clock-mediated GR-regulated genes. Gene expressions manifested nonlinear dynamics, possibly because we ob

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Mobile Application for Monitoring and Preventing Cognitive Decline Through Lifestyle Intervention,he individual’s progress. The developed application is also capable of reassessing users’ risk to track their progress, while also providing these services in an intuitive and user-friendly manner, which could enable the future development of more accurate models through the collected data.