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T death by design: mechanisms, processes and biodiversity decline under designer-designing

Ada Coombes

T Designer-Designing Software (tcg) is a basic but rapidly evolving tool that allows for the generation of genome- scale parameter estimates from a large number of cells, allowing for modeling of changes in gene expression during development and as a consequence of therapy or disease. An important component of tcg is predicting the sizes and phenotypes of individual cells, which are integral to gene expression modeling and can be used as a basis for cell identity prediction. A number of studies using tcg have been conducted mainly on small datasets, although some use larger datasets, which provide additional insights into gene ontology and possibly shed light on the biological significance of gene ontology. Here, we examine tcg generated from three different stem cell types, from positive selection to complement-death (rl), and compare them to common gene models. We present results from a multi-stage analysis that incorporates gene ontology prediction in conjunction with experimental observations, which allow for robust model selection and reveal hidden biological mechanisms. We compare the phenotypes generated via tcg with several effective ring-cg models while providing analytical support to the validity of these models