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pls analysis  (Minitab Inc)

 
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    Minitab Inc pls analysis
    Pls Analysis, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/pls+analysis/analysis+pls/pm41455794-120-14-19
    Average 86 stars, based on 1 article reviews
    pls analysis - by Bioz Stars, 2026-09
    86/100 stars

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    Article Title: Anti-inflammatory effects of Lonicera macranthoides Hand.-Mazz based on Spectrum-effect relationship, network pharmacology and molecular docking technology.
    Article Snippet: Based on the anti-inflammatory data in Table 3 and peak areas from Table 5, PLS analysis was performed using Minitab (version 6.4.1), yielding Eq. (2).

    Article Title: Anti-inflammatory effects of Lonicera macranthoides Hand.-Mazz based on Spectrum-effect relationship, network pharmacology and molecular docking technology
    Article Snippet: Based on the anti-inflammatory data in Table and peak areas from Table , PLS analysis was performed using Minitab (version 6.4.1), yielding Eq. (2).

    Article Title: AN IMPROVED QSPR STUDY OF REVERSE FACTOR OF NANOPARTICLES IN ROADSIDE ATMOSPHERE ON KERNEL PARTIAL LEAST SQUARES AND GENETIC ALGORITHM
    Article Snippet: Thermal desorption-comprehensive two-dimensional gas chromatography high-resolution time-of°ight mass spectrometry (TD GC GC HRTOF-MS) is one of the most powerful tools in analytical nanoparticle compounds.. Genetic algorithm and partial least square (GA-PLS) and kernel PLS (GA-KPLS) models were used to investigate the correlation between reverse factor (RF) and descriptors for 50 nanoparticles fraction with a diameter of 29 58nm in roadside atmosphere which obtained by TD GC GC HRTOF-MS.. The correlation coe±cient leave-group-out cross validation (LGO-CV (Q)) of prediction for theGA-PLS andGA-KPLSmodels for training and test sets were (0.761 and 0.718) and (0.825 and 0.814), respectively, revealing the reliability of these models.

    Software:

    Article Title: Determination of gelatin from marshmallows using a combination of fourier transform infrared (ATR-FTIR) spectroscopic and chemometrics for halal authentication
    Article Snippet: Marshmallow is a foam that contains aerated sugar, which is stabilized with gelatin or egg albumin.. In this research, a Fourier Transform Infra-Red (ATR-FTIR) spectroscopy combined with the Chemometrics methods is developed to distinguish the presence of porcine gelatin in marshmallows, which can then be used to identify halal products.. This method provides fast and rapid testing of halal products.



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    Multivariate analysis of urinary ¹H NMR metabolomic profiles across groups: Primary Mitochondrial Disease (PMD, orange), Suspected Mitochondrial Disease (SMD, yellow), Control individuals (green), Chronic Kidney Disease (CKD) stages 1–2 (lilac) and stages 3–5 (purple). The ellipses represent 95% confidence intervals. A Principal Component Analysis (PCA) highlights distinct metabolic fingerprint in CKD patients compared to other groups. B Corresponding supervised model using partial least squares discriminant analysis (PLS-DA) shows metabolic divergence between groups, particularly between PMD, CKD3-5, and controls. PMD primary mitochondrial disease, SMD suspected mitochondrial dysfunction, CKD chronic kidney disease

    Journal: Metabolomics

    Article Title: NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

    doi: 10.1007/s11306-025-02363-8

    Figure Lengend Snippet: Multivariate analysis of urinary ¹H NMR metabolomic profiles across groups: Primary Mitochondrial Disease (PMD, orange), Suspected Mitochondrial Disease (SMD, yellow), Control individuals (green), Chronic Kidney Disease (CKD) stages 1–2 (lilac) and stages 3–5 (purple). The ellipses represent 95% confidence intervals. A Principal Component Analysis (PCA) highlights distinct metabolic fingerprint in CKD patients compared to other groups. B Corresponding supervised model using partial least squares discriminant analysis (PLS-DA) shows metabolic divergence between groups, particularly between PMD, CKD3-5, and controls. PMD primary mitochondrial disease, SMD suspected mitochondrial dysfunction, CKD chronic kidney disease

    Article Snippet: Multivariate analysis (MVA) trough Principal component analysis (PCA) and partial-least-squares discriminant analysis (PLS-DA) models (SIMCA-P 11.5, Umetrics, Umeå, Sweden), were performed on full resolution 1 H NMR spectra, after unit variance (UV) scaling of the spectra.

    Techniques: Metabolomic, Control

    Supervised multivariate models and spectral features associated with mitochondrial disorders. I. Partial Least Squares Discriminant Analysis (PLS-DA) models were generated to compare patients with PMD to: A controls, B SMD, C . CKD stages 1–2, and D . CKD stages 3–5. The corresponding Q² values, indicate the predictive performance of each model. Clear discrimination was observed between PMD and controls (Q² = 0.53), and both CKD subgroups (Q² = 0.62 and 0.78). In contrast, the model comparing PMD to SMD showed lower predictive performance (Q² = 0.25), reflecting significant metabolic overlap. II. Corresponding loadings plot of model A, color-coded by variable importance in projection (VIP) scores for the first latent variable (LV1) highlighting spectral regions that contribute most to the separation between PMD and controls. (regions around 1.2–2.5 ppm and 3.0–4.5 ppm, consistent with metabolites involved in amino acid metabolism, organic acids, and energy-related pathways). Three-letter code used for amino acids. Abbreviations: 3-HBA: 3-hydroxybutyrate; 4-HPA: 4-hydroxyphenylacetate; N -PhAcGly: N -phenylacetylglycine. Ui: resonances at chemical shift i, which remain unassigned (or with tentative assignment)

    Journal: Metabolomics

    Article Title: NMR-based urinary biomarkers in pediatric primary mitochondrial disorders and chronic kidney disease: shared mitochondrial dysfunction, diverging biosignatures

    doi: 10.1007/s11306-025-02363-8

    Figure Lengend Snippet: Supervised multivariate models and spectral features associated with mitochondrial disorders. I. Partial Least Squares Discriminant Analysis (PLS-DA) models were generated to compare patients with PMD to: A controls, B SMD, C . CKD stages 1–2, and D . CKD stages 3–5. The corresponding Q² values, indicate the predictive performance of each model. Clear discrimination was observed between PMD and controls (Q² = 0.53), and both CKD subgroups (Q² = 0.62 and 0.78). In contrast, the model comparing PMD to SMD showed lower predictive performance (Q² = 0.25), reflecting significant metabolic overlap. II. Corresponding loadings plot of model A, color-coded by variable importance in projection (VIP) scores for the first latent variable (LV1) highlighting spectral regions that contribute most to the separation between PMD and controls. (regions around 1.2–2.5 ppm and 3.0–4.5 ppm, consistent with metabolites involved in amino acid metabolism, organic acids, and energy-related pathways). Three-letter code used for amino acids. Abbreviations: 3-HBA: 3-hydroxybutyrate; 4-HPA: 4-hydroxyphenylacetate; N -PhAcGly: N -phenylacetylglycine. Ui: resonances at chemical shift i, which remain unassigned (or with tentative assignment)

    Article Snippet: Multivariate analysis (MVA) trough Principal component analysis (PCA) and partial-least-squares discriminant analysis (PLS-DA) models (SIMCA-P 11.5, Umetrics, Umeå, Sweden), were performed on full resolution 1 H NMR spectra, after unit variance (UV) scaling of the spectra.

    Techniques: Generated