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Construction of Training Sets for Valid Calibration of in Vivo Cyclic Voltammetric Data by Principal Component Analysis
Principal component regression, a multivariate calibration technique, is an invaluable tool for the analysis of voltammetric data collected in vivo with acutely implanted microelectrodes. This method utilizes training sets to separate cyclic voltammograms into contributions from multiple electroacti...
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| 發表在: | Anal Chem |
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| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2015
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5131642/ https://ncbi.nlm.nih.gov/pubmed/26477708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.analchem.5b03222 |
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