pls-da Search Results


pls-da in ezinfo  (Umetrics)
90
Umetrics pls-da in ezinfo
Pls Da In Ezinfo, supplied by Umetrics, 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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pls-da in ezinfo - by Bioz Stars, 2026-04
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pls-da models  (Umetrics)
90
Umetrics pls-da models
Pls Da Models, supplied by Umetrics, 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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pls-da models - by Bioz Stars, 2026-04
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orthogonal partial least squares-discriminant analysis (opls-da)  (Metabo Inc)
90
Metabo Inc orthogonal partial least squares-discriminant analysis (opls-da)
Orthogonal Partial Least Squares Discriminant Analysis (Opls Da), supplied by Metabo 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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pca and pls  (Umetrics)
90
Umetrics pca and pls
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Pca And Pls, supplied by Umetrics, 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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pca and pls - by Bioz Stars, 2026-04
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pls-da model  (S2 Statistical Solutions)
90
S2 Statistical Solutions pls-da model
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Pls Da Model, supplied by S2 Statistical Solutions, 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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pls-da model - by Bioz Stars, 2026-04
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partial-least squares discriminant analysis (pls-da)  (MedCalc Software Ltd)
90
MedCalc Software Ltd partial-least squares discriminant analysis (pls-da)
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Partial Least Squares Discriminant Analysis (Pls Da), supplied by MedCalc Software Ltd, 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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simca-p□+□version 12  (Umetrics)
90
Umetrics simca-p□+□version 12
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Simca P□+□Version 12, supplied by Umetrics, 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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simca-p□+□version 12 - by Bioz Stars, 2026-04
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partial least-squares discrimination analysis (pls-da)  (Umetrics)
90
Umetrics partial least-squares discrimination analysis (pls-da)
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Partial Least Squares Discrimination Analysis (Pls Da), supplied by Umetrics, 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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partial least-squares discrimination analysis (pls-da) - by Bioz Stars, 2026-04
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pls-da scores plot  (Umetrics)
90
Umetrics pls-da scores plot
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Pls Da Scores Plot, supplied by Umetrics, 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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pls-da scores plot - by Bioz Stars, 2026-04
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partial least-squares discriminant analysis  (Metax GmbH)
90
Metax GmbH partial least-squares discriminant analysis
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Partial Least Squares Discriminant Analysis, 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
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2d clustering plot based on pca, vae, pls-da, and opls-da  (Molecular Biosciences Inc)
90
Molecular Biosciences Inc 2d clustering plot based on pca, vae, pls-da, and opls-da
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
2d Clustering Plot Based On Pca, Vae, Pls Da, And Opls Da, supplied by Molecular Biosciences 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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projection to latent structures-discriminant analysis  (Umetrics)
90
Umetrics projection to latent structures-discriminant analysis
<t>Multivariate</t> pairwise-analysis of patient groups. (a) <t>PLS-DA</t> comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.
Projection To Latent Structures Discriminant Analysis, supplied by Umetrics, 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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Image Search Results


Multivariate pairwise-analysis of patient groups. (a) PLS-DA comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.

Journal: bioRxiv

Article Title: Metabolic Profiling of Aortic Stenosis and Hypertrophic Cardiomyopathy Identifies Mechanistic Contrasts in Substrate Utilisation

doi: 10.1101/715680

Figure Lengend Snippet: Multivariate pairwise-analysis of patient groups. (a) PLS-DA comparison between the HCM and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=36%, R 2 Y=41%, Q 2 =18%). (b) PLS-DA comparison between the AS and control groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=38%, R 2 Y=64%, Q 2 =54%). (c) PLS-DA comparison between the HCM and AS groups using blood samples from all three sampling sites (CS, AR, FV) (R 2 X=44%, R 2 Y=70%, Q 2 =53%) (d) Random permutation test of the model validity for the model in b. (e) PLS-DA comparison between the control and AS groups using blood samples from the CS (R 2 X=30%, R 2 Y=59%, Q 2 =37%). (f) Box-whisker plots of key metabolites that are discriminatory between the AS and control groups for the model in e. (g) PLS-DA comparison between the HCM and AS groups using blood samples from the CS (R 2 X=29%, R 2 Y=47%; Q 2 =18%). (h) ROC analysis of the predictive capability of the model in e discriminating between AS and control groups.

Article Snippet: Multivariate data analysis using PCA and PLS was performed in Simca 14.0 (Umetrics, Umeå, Sweden).

Techniques: Comparison, Control, Sampling, Whisker Assay