Assessing the feasibility of statistical inference using synthetic antibody-antigen datasets
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Simulation frameworks are useful to stress-test predictive models when data is scarce, or to assert model sensitivity to specific data distributions. Such frameworks often need to recapitulate several layers of data complexity, including emergent properties th... ...
