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Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes

CITE Title : Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes Personal Author(s) : Vandromme, Maxence;Jun, Tomi;Perumalswami, Ponni;Dudley, Joel T.;Branch, Andrea;Li, Li; Published Date : 2020;2020; Source : Pac Symp Biocomput. 25:91-102 URL : https://stacks.cdc.gov/view/cdc/85335 Vandromme, Maxence et al. (2020). Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes. 25 Vandromme, Maxence et al. "Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes" 25 (2020) Vandromme, Maxence et al. "Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypes" vol. 25, 2020 Export RIS Citation Information.

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Vandromme, Maxence ;

Jun, Tomi

2020 | Pac Symp Biocomput. 25:91-102

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Non-alcoholic fatty liver disease (NAFLD) is a complex heterogeneous disease which affects more than 20% of the population worldwide. Some subtypes of...

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