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Correlations reveal the hierarchical organization of biological networks with latent variables - Communications Biology

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Correlations reveal the hierarchical organization of biological networks with latent variables - Communications Biology

Deciphering the functional organization of large biological networks is a major challenge for current mathematical methods. A common approach is to decompose networks into largely independent functional modules, but inferring these modules and their organization from network activity is difficult, given the uncertainties and incompleteness of measurements. Typically, some parts of the overall functional organization, such as intermediate processing steps, are latent.

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Correlations reveal the hierarchical organization of biological networks with latent variables - Communications Biology

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Correlations reveal the hierarchical organization of biological networks with latent variables - Communications Biology

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