015-Arc released first Virtual Cell Model: State
The Arc institute introduces State, a novel machine learning model designed to predict cellular responses to various perturbations, such as genetic or chemical treatments. The model tackles key challenges in the field, including cellular heterogeneity and technical variation across datasets, which often limit the generalization of existing computational models. State utilizes a multi-scale architecture, comprising a State Transition (ST) model that learns perturbation effects across cell populations and a State Embedding (SE) model that generates robust cell representations from vast…
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