Treatment of missing values for multivariate statistical analysis of gel‐based proteomics data

  title={Treatment of missing values for multivariate statistical analysis of gel‐based proteomics data},
  author={R. Pedreschi and M. Hertog and S. Carpentier and J. Lammertyn and J. Robben and J. Noben and B. Panis and R. Swennen and B. Nicola{\"i}},
  • R. Pedreschi, M. Hertog, +6 authors B. Nicolaï
  • Published 2008
  • Mathematics, Medicine
  • The presence of missing values in gel‐based proteomics data represents a real challenge if an objective statistical analysis is pursued. Different methods to handle missing values were evaluated and their influence is discussed on the selection of important proteins through multivariate techniques. The evaluated methods consisted of directly dealing with them during the multivariate analysis with the nonlinear estimation by iterative partial least squares (NIPALS) algorithm or imputing them by… CONTINUE READING
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