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Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China
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Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
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Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China
Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Xiamen, China
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, we tried to uncover those key regulators or transcription factor analyses for determining the functional change of aHSCs in NASH by two bioinformatic methods. Several key upstream regulators related to the functional changes of HSCs in NASH were
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Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Gentofte, Denmark
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_assign_taxonomy_uclust.py (QIIME v1.9.1) ( 17 ). Calculations and bioinformatic analysis of bacterial sequences Power calculations for the primary endpoint have been provided in a previously published paper ( 7 ). Initially, the dataset was purged for 16S rRNA gene
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Xiamen Key Laboratory for Clinical Efficacy and Evidence-Based Research of Traditional Chinese Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Fujian Province Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of medicine, Xiamen University, Xiamen, China
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International Conference on Bioinformatics and Biomedicine (BIBM) , Shenzhen , 2016 , pp. 795 – 798 . ( https://doi.org/10.1109/BIBM.2016.7822626 ) 11 Qi J He P Yao H Xue Y Sun W Lu P Qi X Zhang Z Jing R Cui B , et al. Developing a
Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Danish Diabetes Academy, Odense University Hospital, Odense, Denmark
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Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
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Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
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Department of Biomedicine, Aarhus University, Aarhus, Denmark
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Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
Danish Diabetes Academy, Odense University Hospital, Odense, Denmark
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quantitative PCR . BMC Bioinformatics 2008 9 465. ( https://doi.org/10.1186/1471-2105-9-465 ) 23 Sinha MK Raineri-Maldonado C Buchanan C Pories WJ Carter-Su C Pilch PF Caro JF . Adipose tissue glucose transporters in NIDDM: decreased levels