matlab v8.5 Search Results


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Eigenvector Research Inc pls toolbox v. 8.5.2
Results of leave-one-farm out external validation of orthogonal <t> partial least squares </t> (OPLS) regression models predicting serum BHBA concentration from uncorrected 1 H NMR spectra. Validation farm specifies the identity of the data used for validation, N the number of animals used in calibration and validation datasets. The coefficient of determination (R 2 ) and root mean square error (RMSE) are reported for each calibration/validation subset.
Pls Toolbox V. 8.5.2, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Results of leave-one-farm out external validation of orthogonal  partial least squares  (OPLS) regression models predicting serum BHBA concentration from uncorrected 1 H NMR spectra. Validation farm specifies the identity of the data used for validation, N the number of animals used in calibration and validation datasets. The coefficient of determination (R 2 ) and root mean square error (RMSE) are reported for each calibration/validation subset.

Journal: Metabolites

Article Title: Use of Large and Diverse Datasets for 1 H NMR Serum Metabolic Profiling of Early Lactation Dairy Cows

doi: 10.3390/metabo10050180

Figure Lengend Snippet: Results of leave-one-farm out external validation of orthogonal partial least squares (OPLS) regression models predicting serum BHBA concentration from uncorrected 1 H NMR spectra. Validation farm specifies the identity of the data used for validation, N the number of animals used in calibration and validation datasets. The coefficient of determination (R 2 ) and root mean square error (RMSE) are reported for each calibration/validation subset.

Article Snippet: Statistical analyses were performed in MatLab utilizing the PLS Toolbox v. 8.5.2 (Eigenvector Research Inc., Manson, WA, USA).

Techniques: Biomarker Discovery, Concentration Assay