Abstract
We present a fitting method applied to high resolution two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). The goal of this technique is to improve protein quantification by 2D-PAGE modeling. Two-dimensional gaussian functions (2D-Gaussian) have been used to model protein patterns contained in a 2D-PAGE. The patterns are sequentially approximated by a 2D-Gaussian. This is performed, first, by a least square fitting algorithm (linear method); then, by a conjugate gradient minimization algorithm (non-linear method). Results of this method are discussed.
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© 1993 Springer-Verlag Berlin Heidelberg
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Vargas, J.R., Appel, R.D., Hochstrasser, D.F., Pellegrini, C. (1993). Modeling and quantification of protein maps by Gaussian fitting. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_84
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DOI: https://doi.org/10.1007/3-540-57233-3_84
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