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Inference about quantitative traits under selection: a Bayesian revisitation for the post-genomic era.

Daniel GianolaRohan L FernandoChris C Schön
Published in: Genetics, selection, evolution : GSE (2022)
The approach used here for inference and prediction under selection may or may not yield the best possible answers. One may believe that selection has been accounted for diligently, but the central problem of whether statistical inferences are good or bad does not have an unambiguous solution. On the other hand, the quality of predictions can be gauged empirically via appropriate training-testing of competing methods.
Keyphrases
  • single cell
  • high resolution
  • genome wide
  • copy number
  • gene expression
  • quality improvement
  • mass spectrometry