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Assessing Principal Component Regression Prediction of Neurochemicals Detected with Fast-Scan Cyclic Voltammetry
[Image: see text] Principal component regression is a multivariate data analysis approach routinely used to predict neurochemical concentrations from in vivo fast-scan cyclic voltammetry measurements. This mathematical procedure can rapidly be employed with present day computer programming languages...
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| Main Authors: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
American Chemical Society
2011
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| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3182154/ https://ncbi.nlm.nih.gov/pubmed/21966586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/cn200035u |
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