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A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia.

Syed Aun MuhammadNighat FatimaRehan Zafar ParachaAmjad AliJake Y Chen
Published in: Journal of biological research (Thessalonike, Greece) (2019)
Our integrative approach helps to prioritize the biomarkers that ultimately lessen the economic burden of experimental studies. It will also be valuable to discover mutants in genomic data in order to increase the identification of new biomarkers for similar problems.
Keyphrases
  • mental health
  • electronic health record
  • big data
  • machine learning
  • copy number
  • mass spectrometry
  • dna methylation
  • data analysis
  • wild type