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is ?:annotates of
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  • [\'KU Leuven Flow and Mass Cytometry Facility, KU Leuven, Leuven, Belgium.\', \'Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.\', \'Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.\', \'Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.\', \'Laboratory of Clinical Bacteriology and Mycology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.\', \'Laboratory of Experimental Oncology, Department of Oncology,, KU Leuven, Leuven, Belgium.\', \'Laboratory of Immunobiology, Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.\', \'Laboratory of Translational Genetics, Department of Human Genetics, VIB-KU Leuven, Leuven, Belgium.\', \'Laboratory for Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine (CMM), KU Leuven, Leuven, Belgium.\', \'Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.\', \'Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.\', \'Center for Molecular and Vascular Biology, Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.\', \'Laboratory for Clinical Infectious and Inflammatory Disorders, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.\', \'Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium. frederik.desmet@kuleuven.be.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1007/s00018-021-03808-8
?:hasPublicationType
?:journal
  • Cellular and molecular life sciences : CMLS
is ?:pmid of
?:pmid
?:pmid
  • 33715015
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  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • High dimensional profiling identifies specific immune types along the recovery trajectories of critically ill COVID19 patients.
?:type
?:year
  • 2021

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