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Statistical Analysis of 2DE Gels: Detect Outliers, Identify Structures, and Find Interesting Spots

You are analyzing 2D gels and don't know whether you can rely on your data?

Which statistical methods help answering your questions?
How to continue your investigation on spots of interest?

Based on the webinar held in June, when we spoke about spot detection and quantitation, the

DECODON Academy Webinar

Statistical Analysis of 2DE Gels:
Detect Outliers, Identify Structures, and Find Interesting Spots

answered the above questions by focusing on:

  • Identification of outliers among gels e.g. with the help of Principal Component Analysis (PCA) or Hierarchical Clustering (HCL)
  • Finding spots of interest using non-parametric tests like Wilcoxon Test (incl. false discovery rate (FDR) control)
  • Discovery of typical patterns among interesting protein expression profiles with Hierarchical Clustering (HCL)
  • Creation of picklists for manual or automatic picking (commonly used devices supported)
[img: PCA]

Recording available

(Recorded and published with speaker's permission.)

 

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