Rank estimation and the multivariate analysis of in vivo fast-scan cyclic voltammetric data.

@article{Keithley2010RankEA,
  title={Rank estimation and the multivariate analysis of in vivo fast-scan cyclic voltammetric data.},
  author={Richard B. Keithley and Regina M Carelli and R Mark Wightman},
  journal={Analytical chemistry},
  year={2010},
  volume={82 13},
  pages={5541-51}
}
Principal component regression has been used in the past to separate current contributions from different neuromodulators measured with in vivo fast-scan cyclic voltammetry. Traditionally, a percent cumulative variance approach has been used to determine the rank of the training set voltammetric matrix during model development; however, this approach suffers from several disadvantages including the use of arbitrary percentages and the requirement of extreme precision of training sets. Here, we… CONTINUE READING

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