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

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”

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,