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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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21#
發(fā)表于 2025-3-25 07:03:37 | 只看該作者
Conference proceedings 2021ive diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics..
22#
發(fā)表于 2025-3-25 09:04:00 | 只看該作者
Conference proceedings 2021entific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementatio
23#
發(fā)表于 2025-3-25 14:51:55 | 只看該作者
24#
發(fā)表于 2025-3-25 19:25:32 | 只看該作者
978-3-030-78777-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
25#
發(fā)表于 2025-3-25 23:18:13 | 只看該作者
GeNeDis 2020978-3-030-78775-2Series ISSN 0065-2598 Series E-ISSN 2214-8019
26#
發(fā)表于 2025-3-26 03:15:09 | 只看該作者
27#
發(fā)表于 2025-3-26 05:23:25 | 只看該作者
28#
發(fā)表于 2025-3-26 12:31:10 | 只看該作者
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
29#
發(fā)表于 2025-3-26 14:16:15 | 只看該作者
30#
發(fā)表于 2025-3-26 19:54:24 | 只看該作者
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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