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Alison Heggie

Showing results (11-20 of 14) with videos related to

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Genome Medicine|December 2, 2020
Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT studyValborg Gudmundsdottir, Helle Krogh Pedersen, Gianluca Mazzoni, et al.
Nature Biotechnology|May 2, 2023
Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning modelsRosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
Plos Medicine|June 20, 2020
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohortsNaeimeh Atabaki-Pasdar, Mattias Ohlsson, Ana Viñuela, et al.
Nature Biotechnology|January 2, 2023
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning modelsRosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
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Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Genome Medicine|December 2, 2020
Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT studyValborg Gudmundsdottir, Helle Krogh Pedersen, Gianluca Mazzoni, et al.
Nature Biotechnology|May 2, 2023
Author Correction: Discovery of drug-omics associations in type 2 diabetes with generative deep-learning modelsRosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
Plos Medicine|June 20, 2020
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohortsNaeimeh Atabaki-Pasdar, Mattias Ohlsson, Ana Viñuela, et al.
Nature Biotechnology|January 2, 2023
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning modelsRosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, et al.
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