Geometric analysis enables biological insight from complex non-identifiable models using simple surrogates
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DOI: 10.1371/journal.pcbi.1010844
Abstract: An enduring challenge in computational biology is to balance data quality and quantity with model complexity. Tools such as identifiability analysis and information criterion have been developed to harmonise this juxtaposition, yet cannot always resolve… read more here.
Keywords: complex non; identifiable models; analysis; model ... See more keywords