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MathWorks Inc pls toolbox software for
Statistical performances of the partial least square-discriminant analysis <t> (PLS-DA) </t> models for classification of four groups of berry fruit seeds, based on HPTLC (lipids), GC-MS (fatty acids) and HPAEC-PAD (sugars) chromatographic profiles
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Statistical performances of the partial least square-discriminant analysis <t> (PLS-DA) </t> models for classification of four groups of berry fruit seeds, based on HPTLC (lipids), GC-MS (fatty acids) and HPAEC-PAD (sugars) chromatographic profiles
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Siemens AG siemens-supplied algorithm
Statistical performances of the partial least square-discriminant analysis <t> (PLS-DA) </t> models for classification of four groups of berry fruit seeds, based on HPTLC (lipids), GC-MS (fatty acids) and HPAEC-PAD (sugars) chromatographic profiles
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Image Search Results


Statistical performances of the partial least square-discriminant analysis  (PLS-DA)  models for classification of four groups of berry fruit seeds, based on HPTLC (lipids), GC-MS (fatty acids) and HPAEC-PAD (sugars) chromatographic profiles

Journal: Food Technology and Biotechnology

Article Title: Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits

doi: 10.17113/ftb.60.03.22.7505

Figure Lengend Snippet: Statistical performances of the partial least square-discriminant analysis (PLS-DA) models for classification of four groups of berry fruit seeds, based on HPTLC (lipids), GC-MS (fatty acids) and HPAEC-PAD (sugars) chromatographic profiles

Article Snippet: Pretreatment of chromatographic signals (HPTLC, GC-MS and HPAEC-PAD) consisted of warping, normalization and centring, and was performed by algorithms implemented in the PLS ToolBox software for MATLAB ( ).

Techniques: High Performance Thin Layer Chromatography

Partial least square-discriminant analysis of lipid profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensity of pixels) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Journal: Food Technology and Biotechnology

Article Title: Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits

doi: 10.17113/ftb.60.03.22.7505

Figure Lengend Snippet: Partial least square-discriminant analysis of lipid profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensity of pixels) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Article Snippet: Pretreatment of chromatographic signals (HPTLC, GC-MS and HPAEC-PAD) consisted of warping, normalization and centring, and was performed by algorithms implemented in the PLS ToolBox software for MATLAB ( ).

Techniques:

Partial least square-discriminant analysis of fatty acid profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensities of analytical signals) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Journal: Food Technology and Biotechnology

Article Title: Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits

doi: 10.17113/ftb.60.03.22.7505

Figure Lengend Snippet: Partial least square-discriminant analysis of fatty acid profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensities of analytical signals) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Article Snippet: Pretreatment of chromatographic signals (HPTLC, GC-MS and HPAEC-PAD) consisted of warping, normalization and centring, and was performed by algorithms implemented in the PLS ToolBox software for MATLAB ( ).

Techniques:

Partial least square-discriminant analysis of sugar profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensities of analytical signals) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Journal: Food Technology and Biotechnology

Article Title: Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits

doi: 10.17113/ftb.60.03.22.7505

Figure Lengend Snippet: Partial least square-discriminant analysis of sugar profiles of berry seeds: a-d) score plots of data, e-h) plots of the variables (intensities of analytical signals) versus variable importance in the projection scores, i-l) plot of the coefficients of parameters

Article Snippet: Pretreatment of chromatographic signals (HPTLC, GC-MS and HPAEC-PAD) consisted of warping, normalization and centring, and was performed by algorithms implemented in the PLS ToolBox software for MATLAB ( ).

Techniques: