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Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis
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  • Iago Pinal-Fernandez Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Insititutes of Health, Bethesda, Maryland, USA Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain Faculty of Computer Science, Multimedia and Telecommunications, Universitat Oberta de Catalunya, Barcelona, Spain PubMed articlesGoogle scholar articles
  • Maria Casal-Dominguez Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Insititutes of Health, Bethesda, Maryland, USA Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Assia Derfoul Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Insititutes of Health, Bethesda, Maryland, USA PubMed articlesGoogle scholar articles
  • Katherine Pak Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Insititutes of Health, Bethesda, Maryland, USA PubMed articlesGoogle scholar articles
  • Frederick W Miller Enivironmental Autoimmunity Group, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, Maryland, USA PubMed articlesGoogle scholar articles
  • Jose César Milisenda Internal Medicine, Hospital Clinic de Barcelona, Barcelona, Catalunya, Spain PubMed articlesGoogle scholar articles
  • Josep Maria Grau-Junyent Internal Medicine, Hospital Clinic de Barcelona, Barcelona, Catalunya, Spain PubMed articlesGoogle scholar articles
  • Albert Selva-O'Callaghan Internal Medicine, Vall d'Hebron General Hospital, Universitat Autonoma de Barcelona, Barcelona, Spain PubMed articlesGoogle scholar articles
  • Carme Carrion-Ribas Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain PubMed articlesGoogle scholar articles
  • Julie J Paik Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Jemima Albayda Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Lisa Christopher-Stine Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Thomas E Lloyd Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Andrea M Corse Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Andrew L Mammen Muscle Disease Unit, Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Insititutes of Health, Bethesda, Maryland, USA Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Andrew L Mammen, NIAMS/NIH, Bethesda, Maryland, USA; andrew.mammen{at}nih.gov
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Citation

Pinal-Fernandez I, Casal-Dominguez M, Derfoul A, et al
Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis

Publication history

  • Received November 5, 2019
  • Revised April 27, 2020
  • Accepted May 14, 2020
  • First published June 16, 2020.
Online issue publication 
August 14, 2020

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