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partial least squares discriminant analysis (pls-da) software  (Metax GmbH)

 
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    Metax GmbH partial least squares discriminant analysis (pls-da) software
    Partial Least Squares Discriminant Analysis (Pls Da) Software, supplied by Metax GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/partial+least+squares+discriminant+analysis+(pls-da)/partial+least+squares+discriminant+analysis++pls+da++software/pmc12189806-93-31-36
    Average 90 stars, based on 1 article reviews
    partial least squares discriminant analysis (pls-da) software - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: In Vitro Evaluation of Enzymatically Transformed Alfalfa Saponins on Methane Reduction, Rumen Microbes and Metabolomics in Goats
    Article Snippet: For multi-omics integration: microbial abundance correlations used Spearman’s rank with the Benjamini–Hochberg FDR ( q < 0.05); metabolomic pathways were analyzed via PLS-DA (partial least-squares discriminant analysis) (metaX package) with permutation testing ( n = 1000).

    Article Title: Metabolic Profiles of Serum and Ovarian Tissue in Taihe Black-Boned Silky Fowl During the Early and Peak Laying Periods
    Article Snippet: Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed using metaX software (Version 2.0.0) [ ].

    Article Title: From waste to value: Multi-omics reveal pomegranate peel addition improves corn silage antioxidant activity and reduces methane and nitrogen losses.
    Article Snippet: • This study revealed the application of PP by-product in corn silage.. • PP additive increased WSC content and reduced ethanol production in corn

    Article Title: In Vitro Evaluation of Enzymatically Transformed Alfalfa Saponins on Methane Reduction, Rumen Microbes and Metabolomics in Goats.
    Article Snippet: For multi-omics integration: microbial abundance correlations used Spearman’s rank with the Benjamini–Hochberg FDR (q < 0.05); metabolomic pathways were analyzed via PLS-DA (partial least-squares discriminant analysis) (metaX package) with permutation testing (n = 1000).

    Article Title: Metabolic Profiles of Serum and Ovarian Tissue in Taihe Black-Boned Silky Fowl During the Early and Peak Laying Periods.
    Article Snippet: Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed using metaX software (Version 2.0.0) [15].

    Article Title: Multi-Omics Revealed the Effects of Different Feeding Systems on Rumen Microorganisms, Cellulose Degradation, and Metabolites in Mongolian Cattle
    Article Snippet: The processed matrices were submitted to the Megibio cloud platform ( https://cloud.majorbio.com , accessed on 4 August 2023) for evaluation, and the data were processed and analyzed using the partial least squares discriminant analysis (PLS-DA) software, metaX (v 1.4.2), to obtain the variable importance projection (VIP), retention time (RT), and mass-to-charge ration (m/z) of the metabolites.

    Article Title: Genomic epidemiology and anti-biofilm mechanisms of Lactobacillus in ST11 carbapenem-resistant Klebsiella pneumoniae in China
    Article Snippet: Multivariate statistical analysis was performed using metaX software, including Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA), and calculation of Variable Importance Projection (VIP) values.

    Article Title: Multi-Omics Revealed the Effects of Different Feeding Systems on Rumen Microorganisms, Cellulose Degradation, and Metabolites in Mongolian Cattle.
    Article Snippet: The processed matrices were submitted to the Megibio cloud platform (https://cloud.majorbio.com, accessed on 4 August 2023) for evaluation, and the data were processed and analyzed using the partial least squares discriminant analysis (PLS-DA) software, metaX (v 1.4.2), to obtain the variable importance projection (VIP), retention time (RT), and mass-to-charge ration (m/z) of the metabolites.



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    Image Search Results


    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