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Andre Madsen
Andre Madsen
Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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Anders Juul
Anders Juul
Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Lise Aksglaede
Lise Aksglaede
Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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analyses The native principal component analysis (PCA) function ‘prcomp()’ in R was applied to the SDS profiles of prepubertal controls and boys with KS in the dataset, as previously demonstrated ( 23 ). The ‘ggbiplot’ package was used to visualize the
Shanlee M Davis
Shanlee M Davis
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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Rhianna Urban
Rhianna Urban
Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA
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Angelo D’Alessandro
Angelo D’Alessandro
Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA
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Julie A Reisz
Julie A Reisz
Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado, USA
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Christine L Chan
Christine L Chan
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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Megan Kelsey
Megan Kelsey
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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Susan Howell
Susan Howell
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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Nicole Tartaglia
Nicole Tartaglia
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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Philip Zeitler
Philip Zeitler
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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eXtraOrdinarY Kids Clinic, Children's Hospital Colorado, Aurora, Colorado, USA
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Peter Baker II
Peter Baker II
Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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used to generate a volcano plot identifying metabolites with a fold change >1.5 and FDR <0.05. To determine if a unique metabolome profile is present in KS, partial least squares – discriminant analysis (PLS-DA), a variant of principal component
