ISSN: 0974-276X
Sandro Iannaccone
Italy
Research Article
Application of Multivariate Data Analysis for the Classification of Two Dimensional Gel Images in Neuroproteomics
Author(s): Saveria Mazzara, Sergio Cerutti, Sandro Iannaccone, Antonio Conti, Stefano Olivieri, Massimo Alessio and Linda PattiniSaveria Mazzara, Sergio Cerutti, Sandro Iannaccone, Antonio Conti, Stefano Olivieri, Massimo Alessio and Linda Pattini
Two-dimensional gel electrophoresis (2DE) still plays a key role in proteomics for exploring the protein content of complex biological mixtures. However, the development of fully automatic strategies in extracting interpretable information from gel images is still a challenging task. In this work, we present a computational strategy aiming at an automatic classification of the discriminant patterns emerging from separation images intended as fingerprints of the correspondent biological conditions. The method was applied to gel images acquired in a study on motor neuron diseases: 33 2DE maps generated from samples of cerebrospinal fluid were processed (26 pathologic and 7 control subjects). Quantitative image descriptors were extracted and fitted to a partial least squares-discriminant analysis (PLSDA) assessing the chance to classify the samples. Moreover, the model was able to identi.. View More»
DOI:
10.4172/jpb.1000162