Use of Legendre moments for the fast comparison of two-dimensional polyacrylamide gel electrophoresis maps images.

Abstract

In this paper, Legendre moments are calculated to extract the global information from a set of two-dimensional polyacrylamide gel electrophoresis map images. The dataset contains 18 samples belonging to two different cell lines (PACA44 and T3M4) of control (untreated) and drug-treated pancreatic ductal carcinoma cells. The aim of this work was to obtain the correct classification of the 18 samples, using the Legendre moments as discriminant variables. For each image the Legendre moments up to a maximum order of 100 were computed. The stepwise linear discriminant analysis (LDA) was performed in order to select the moments with the highest discriminating power. The results demonstrate that the Legendre moments can be successfully applied for fast classification purposes and similarity analysis.

• Authors: Emilio Marengo, Marco Bobba, Maria Cristina Liparota, Elisa Robotti, Pier Giorgio Righetti
• Journal: Journal of chromatography. A (J Chromatogr A) Vol. 1096 Issue 1-2 Pg. 86-91 (Nov 25 2005) ISSN: 0021-9673 [Print] Netherlands
• PMID: 16301071 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Chemical References

• Hydroxamic Acids
• trichostatin A

Topics

• Algorithms
• Cell Line, Tumor
• Cluster Analysis
• Discriminant Analysis
• Electrophoresis, Gel, Two-Dimensional (methods)
• Humans
• Hydroxamic Acids (therapeutic use)
• Image Processing, Computer-Assisted (methods)
• Pancreatic Neoplasms (chemistry, drug therapy)