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Adsorption of genetically engineered proteins studied by time‐of‐flight secondary ion mass spectrometry (TOF‐SIMS). Part B: hierarchical cluster analysis (HCA)
Author(s) -
Suzuki Noriaki,
Sarikaya Mehmet,
Ohuchi Fumio S.
Publication year - 2007
Publication title -
surface and interface analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 90
eISSN - 1096-9918
pISSN - 0142-2421
DOI - 10.1002/sia.2539
Subject(s) - principal component analysis , chemistry , adsorption , hierarchical clustering , cluster (spacecraft) , secondary ion mass spectrometry , similarity (geometry) , analytical chemistry (journal) , mass spectrometry , mass spectrum , ion , biological system , chromatography , cluster analysis , computer science , artificial intelligence , organic chemistry , biology , programming language , image (mathematics)
In Part A, we adopted principal component analysis (PCA) for the analysis of TOF‐SIMS data to assess the binding specificity of GBP‐1 to metallic Au, Ag and Pd. Within a given set of data, PCA aids in the interpretation of the TOF‐SIMS spectra by capitalizing on the differences from one spectrum to another. In Part B, we introduce another multivariate statistical method called ‘hierarchical cluster analysis (HCA)’, where visualization of the similarity and difference in data is readily observed, from which a variety of adsorption conditions of GBP‐1 were characterized. Copyright © 2007 John Wiley & Sons, Ltd.