Predicting the probability of death using proteomics

Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels of 4,684 plasma proteins in 22,913 Icelanders to develop all-cause mortalit...

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Опубликовано в: :Commun Biol
Главные авторы: Eiriksdottir, Thjodbjorg, Ardal, Steinthor, Jonsson, Benedikt A., Lund, Sigrun H., Ivarsdottir, Erna V., Norland, Kristjan, Ferkingstad, Egil, Stefansson, Hreinn, Jonsdottir, Ingileif, Holm, Hilma, Rafnar, Thorunn, Saemundsdottir, Jona, Norddahl, Gudmundur L., Thorgeirsson, Gudmundur, Gudbjartsson, Daniel F., Sulem, Patrick, Thorsteinsdottir, Unnur, Stefansson, Kari, Ulfarsson, Magnus O.
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Publishing Group UK 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8213855/
https://ncbi.nlm.nih.gov/pubmed/34145379
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-021-02289-6
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