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Machine learning algorithms reveal unique gene expression profiles in muscle biopsies from patients with different types of myositis.

Iago Pinal-FernandezMaria Casal-DominguezAssia DerfoulKatherine PakFrederick W MillerJose César MilisendaJosep Maria Grau-JunyentAlbert Selva O'CallaghanCarme Carrion-RibasJulie J PaikJemima AlbaydaLisa Christopher-StineThomas E LloydAndrea M CorseAndrew Lee Mammen
Published in: Annals of the rheumatic diseases (2020)
Unique gene expression profiles in muscle biopsies from patients with MSA-defined subtypes of myositis and IBM suggest that different pathological mechanisms underly muscle damage in each of these diseases.
Keyphrases
  • gene expression
  • machine learning
  • skeletal muscle
  • dna methylation
  • interstitial lung disease
  • deep learning
  • genome wide
  • myasthenia gravis
  • single cell
  • systemic sclerosis