Protein image alignment via tensor product cubic splines

  • Authors:
  • F. A. Potra;X. Liu

  • Affiliations:
  • Department of Mathematics and Statistics, University of Maryland, Baltimore County, USA;Department of Mathematics and Statistics, University of Maryland, Baltimore County, USA

  • Venue:
  • Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
  • Year:
  • 2007

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Abstract

The class of tensor product cubic splines is considered in an optimization process for two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) image alignment problems arising in proteomics studies. Numerical results are presented along with comparisons with previous results based on piecewise affine and bilinear transformations.