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Experimental Design and Statistics for 2-DE data

You are planning a 2D gel project and are looking for the best design? You are wondering which statistical methods lead to the answers you are looking for?


DECODON Academy Webinar

Experimental Design and Statistics for 2-DE data

answers these questions covering the following topics:

  • Experimental design of an example project - given a scientific question
  • Identification of outliers using Principal Component Analysis (PCA)
  • Finding spots of interest using non-parametric tests like Wilcoxon Test
    (incl. false discovery rate control (FDR))
  • Searching for similarly behaving proteins with Pavlidis Template Matching (PTM)
[img: PCA]

Recording available

(Recorded and published with speaker's permission.)

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