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Microarray molecular mapping of horses with severe asthma.

Samuel J WhiteLaurent L CouetilEric A RichardEliane MartiPhilippe Barrie Wilson
Published in: Journal of veterinary internal medicine (2023)
Microarray profiling can identify specific allergenic components associated with SA in horses, while mathematical modeling of this data can be used for disease classification, highlighting the variability of sensitization profiles between geographical locations and emphasizing the importance of local exposure to the prevalence of different allergens. Frequency scoring analysis can identify important variables that contribute to the classification of SA across different geographical regions.
Keyphrases
  • machine learning
  • deep learning
  • risk factors
  • high resolution
  • big data
  • electronic health record
  • bioinformatics analysis
  • artificial intelligence
  • data analysis