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Statistical Analysis

Mass spectrometry data is processed through a search engine (Mascot or XTandem!) to provide a list of identified proteins, and where required, relative or absolute quantification. The proteins are then subject to statistical analysis to identify significantly changed proteins:

  • Volcano plots for significant expression changes between multiple datasets (R Studio, Limma t-statistics)
  • Correlation coefficients for comparison of paired datasets (PRISM, Student t-test)
  • Hierarchical clustering for population studies (R Studio)
  • Principal component analysis for cohort comparisons
statistical plots for proteomics