Tag: Machine Learning

Statistical Mechanics, Information Theory, Machine Learning and Large Language Models for Biomedical Signals, Data and Systems

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Special Issue Information Dear Colleagues, The Special Issue focuses on statistical mechanics, information theory and nonlinear dynamics as a framework for understanding biomedical and biological systems, as well as on the interplay of this framework with modern machine learning, including large language…

Spatial constrains and information content of sub-genomic regions of the human genome

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Summary Complexity metrics and machine learning (ML) models have been utilized to analyze the lengths of segmental genomic entities of DNA sequences (exonic, intronic, intergenic, repeat, unique) with the purpose to ask questions regarding the segmental organization of the human genome within…

Special Issue “Coexistence of Complexity Metrics and Machine-Learning Approaches for Understanding Complex Biological Phenomena”

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A special issue of Entropy (ISSN 1099-4300). Special Issue link Deadline for manuscript submissions: 30 September 2021. Special Issue Editors Prof. Dr. Dimitrios S. Monos WebsiteGuest EditorDepartment of Pathology and Laboratory Medicine, The Children’s Hospital of Philadelphia and Perelman School of Medicine,…