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In-silico performance, validation, and modeling of the Nanostring Banff Human Organ transplant gene panel using archival data from human kidney transplants.

R Neal Smith
Published in: BMC medical genomics (2021)
This report supports using the Banff Human Organ Transplant Panel for gene expression of human renal allografts as a surrogate for microarrays on archival tissue. The data modelled satisfactorily with aggregate diagnoses although with limited per sample accuracy and, thereby, reflects and confirms the modelling complexity and the challenges of modelling gene expression as previously reported.
Keyphrases
  • gene expression
  • endothelial cells
  • induced pluripotent stem cells
  • dna methylation
  • pluripotent stem cells
  • big data
  • machine learning
  • genome wide
  • transcription factor
  • copy number
  • data analysis
  • deep learning