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Comment
. 2023 Mar;82(3):e62.
doi: 10.1136/annrheumdis-2020-219767. Epub 2021 Jan 13.

Response to: 'Correspondence on 'Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis'' by Takanashi et al

Affiliations
Comment

Response to: 'Correspondence on 'Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis'' by Takanashi et al

Iago Pinal-Fernandez et al. Ann Rheum Dis. 2023 Mar.
No abstract available

Keywords: autoantibodies; autoimmune diseases; autoimmunity; dermatomyositis; polymyositis.

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Conflict of interest statement

Competing interests: None declared.

Comment on

References

    1. Takanashi S Classification of idiopathic inflammatory myopathy based on gene expression can be the optimal for personalized medicine. Ann Rheum Dis 2020.
    1. 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. Ann Rheum Dis 2020;79:1234–42. - PMC - PubMed
    1. Olivier PA, De Paepe B, Aronica E, et al. Idiopathic inflammatory myopathy: Interrater variability in muscle biopsy reading. Neurology 2019;93:e889–e94. - PubMed
    1. Fiorentino D, Chung L, Zwerner J, Rosen A, Casciola-Rosen L. The mucocutaneous and systemic phenotype of dermatomyositis patients with antibodies to MDA5 (CADM-140): a retrospective study. J Am Acad Dermatol 2011;65:25–34. - PMC - PubMed
    1. Pinal-Fernandez I, Casal-Dominguez M, Huapaya JA, et al. A longitudinal cohort study of the anti-synthetase syndrome: increased severity of interstitial lung disease in black patients and patients with anti-PL7 and anti-PL12 autoantibodies. Rheumatology (Oxford) 2017;56:999–1007. - PMC - PubMed