Use of Legendre moments for the fast comparison of two-dimensional polyacrylamide gel electrophoresis maps images.
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.
Marengo
Emilio
E
Department of Life and Environmental Science, University of Eastern Piedmont, Via Bellini 25/G, 15100 Alessandria, Italy. marengoe@tin.it
Bobba
Marco
M
Liparota
Maria Cristina
MC
Robotti
Elisa
E
Righetti
Pier Giorgio
PG
D000465:Algorithms; D045744:Cell Line, Tumor; D016000:Cluster Analysis; D016002:Discriminant Analysis; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D006801:Humans; D006877:Hydroxamic Acids / Q000627:therapeutic use; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010190:Pancreatic Neoplasms / Q000737:chemistry / Q000188:drug therapy
D006877:Hydroxamic Acids; C012589:trichostatin A