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Epigenetic regulation of cell identity is essential for cell functionality and tissue homeostasis. Understanding the dynamics of epigenetic programming holds significant impact for deciphering
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, for example, Mendelian Randomisation-based approaches and structural equation modelling techniques applied to genetic, epigenetic and/or expression data. Requirements Specific Requirements Requirements
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. The overarching aim of RIMLS-Science is to decipher molecular mechanisms of disease. Research areas of RIMLS-Science include epigenetics, stem-cell and developmental biology, and computational biology. The central
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of RIMLS-Science include epigenetics, stem-cell and developmental biology, and computational biology. The central research theme is regulation of gene expression during development, in health and in disease
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expanded using machine learning derived modules, based on existing data. Improve the integrated model by adding additional core regulatory genes and data on epigenetic regulation, generation of additional
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, based on existing data. Improve the integrated model by adding additional core regulatory genes and data on epigenetic regulation, generation of additional modules using newly obtained data, and including