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
- PMID: 33441300
- PMCID: PMC11577560
- DOI: 10.1136/annrheumdis-2020-219767
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
Keywords: autoantibodies; autoimmune diseases; autoimmunity; dermatomyositis; polymyositis.
Conflict of interest statement
Competing interests: None declared.
Comment on
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Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis.Ann Rheum Dis. 2020 Sep;79(9):1234-1242. doi: 10.1136/annrheumdis-2019-216599. Epub 2020 Jun 16. Ann Rheum Dis. 2020. PMID: 32546599 Free PMC article.
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Correspondence on 'Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis'.Ann Rheum Dis. 2023 Mar;82(3):e61. doi: 10.1136/annrheumdis-2020-219677. Epub 2020 Dec 18. Ann Rheum Dis. 2023. PMID: 33355102 No abstract available.
References
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- Takanashi S Classification of idiopathic inflammatory myopathy based on gene expression can be the optimal for personalized medicine. Ann Rheum Dis 2020.
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- Olivier PA, De Paepe B, Aronica E, et al. Idiopathic inflammatory myopathy: Interrater variability in muscle biopsy reading. Neurology 2019;93:e889–e94. - PubMed
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