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Updated: Jun 16, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
Using a cross-model loadings plot to identify protein spots causing 2-DE gels to become outliers in PCA
Luise Cederkvist Kristiansen1, Susanne Jacobsen, Flemming Jessen
1Enzyme and Protein Chemistry Group, Department of Systems Biology, Technical University of Denmark, Kgs. Lyngby, Denmark. lck@bio.dtu.dk
Abstract:
The multivariate method PCA is an exploratory tool often used to get an overview of multivariate data, such as the quantified spot volumes of digitized 2-DE gels. PCA can reveal hidden structures present in the data, and thus enables identification of potential outliers and clustering. Based on PCA, we here present an approach for identification of protein spots causing 2-DE gels to become outliers. The approach can potentially obviate analytical exclusion of entire 2-DE gels.
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