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Automatic selection of a representative trial from multiple measurements using Principle Component Analysis

✍ Scribed by Katrin Schweizer; Philippe C. Cattin; Reinald Brunner; Bert Müller; Cora Huber; Jacqueline Romkes


Book ID
116616582
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
639 KB
Volume
45
Category
Article
ISSN
0021-9290

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✍ Jaesool Shim; Prashanta Dutta; Cornelius F. Ivory 📂 Article 📅 2008 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 968 KB

## Abstract Principal component analysis (PCA) technique is used for the precise determination of pK values from titration curves of amphoteric molecules, such as proteins and amino acids. A regression model is developed based on the effective charge of amphoteric molecules. Partial domain method,