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partial least-squares algorithm  (MathWorks Inc)


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    MathWorks Inc partial least-squares algorithm
    Partial Least Squares Algorithm, supplied by MathWorks Inc, 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+algorithm/pmc11635465-123-1-5
    Average 90 stars, based on 1 article reviews
    partial least-squares algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Cortical tracking of speakers' spectral changes predicts selective listening.
    Article Snippet: A social scene is particularly informative when people are distinguishable.. To understand somebody amid a “cocktail party” chatter, we automatically index their voice.. This ability is underpinned by parallel processing of vocal spectral contours from speech sounds, but it has not yet been established how this occurs in the brain’s cortex.

    Article Title: Glomerular Filtration Rate Measurement Utilizing Transdermal Detection Methodology
    Article Snippet: Abstract: Background: The well-known accuracy limitations of estimated GFR (eGFR) currently employed in clinical practice present barriers to optimal care for patients with, or at-risk for, decreased kidney function.. A point-of-care glomerular filtration rate (GFR) measurement methodology has the potential to address these limitations.. We prospectively assessed transdermal detection of the novel fluorescent GFR tracer agent relmapirazin in participants having normal or impaired kidney function across all human skin colors on the Fitzpatrick Skin Scale (FSS).

    Article Title: Improving Stroke Treatment Using Magnetic Nanoparticle Sensors to Monitor Brain Thrombus Extraction.
    Article Snippet: The inverse cubic function was fitted using the default least-squares algorithm in MATLAB.

    Article Title: Improving Stroke Treatment Using Magnetic Nanoparticle Sensors to Monitor Brain Thrombus Extraction.
    Article Snippet: The inverse cubic function was fitted using the default least-squares algorithm in MATLAB. (a) (b) Sensors 2025, 25, x FOR PEER REVIEW 14 of 17 (c) (d) Figure 13.

    Article Title: Human cardiac tissues produce lower contractile stress and exhibit slower cross-bridge cycling in type 2 diabetes.
    Article Snippet: muscle under all metabolite conditions in MATLAB, using a nonlinear least-squares algorithm.

    Article Title: Improving Stroke Treatment Using Magnetic Nanoparticle Sensors to Monitor Brain Thrombus Extraction.
    Article Snippet: The inverse cubic function was fitted using the default least-squares algorithm in MATLAB. (a) (b) Figure 12.

    Article Title: Development and Application of a Quantitative Model for Proximate and Ultimate Analysis of Flue-Cured Tobacco Based on Near-Infrared Spectroscopy
    Article Snippet: Partial least-squares algorithm written by MATLAB software was used to correlate the contents of VM, FC, and A in 149 calibration samples with the corresponding NIR spectra.

    Article Title: Molecular basis for the increased fusion activity of the Ebola virus glycoprotein epidemic variant A82V: Insights from simulations and experiments.
    Article Snippet: Curve fitting of FCS autocorrelation data and smFRET dwell time histograms were performed in Matlab with a nonlinear least-squares algorithm.



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    Umetrics orthogonal partial least square (opls) algorithm
    Validation of predictive models for PDB severity scores. Orthogonal Partial Least Square <t>(OPLS)</t> classifier was trained on the discover set and tested on the cross-validation set. The features consisted of the list of significant sites from site and region level analysis based on the discovery samples (Panels A and C, n = 2,247 CpG sites) and separately, on a best explanatory subset from this pool of sites obtained with the Glmnet (Panels B and D, n = 33 CpG sites) (A,B) Scatter plots of predicted versus observed PDB_severity scores for each model. The observed PDB severity scores were also dichotomized into two groups based on the median PDB severity score of seven; low severity (PDB_severity_score <7; blue) and high severity (PDB_severity_score ≥7; red) and subsequently used for ROC curve analysis showing the area under curve AUC for pooled sites (C) and Glmnet selected sites (D) .
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    Validation of predictive models for PDB severity scores. Orthogonal Partial Least Square (OPLS) classifier was trained on the discover set and tested on the cross-validation set. The features consisted of the list of significant sites from site and region level analysis based on the discovery samples (Panels A and C, n = 2,247 CpG sites) and separately, on a best explanatory subset from this pool of sites obtained with the Glmnet (Panels B and D, n = 33 CpG sites) (A,B) Scatter plots of predicted versus observed PDB_severity scores for each model. The observed PDB severity scores were also dichotomized into two groups based on the median PDB severity score of seven; low severity (PDB_severity_score <7; blue) and high severity (PDB_severity_score ≥7; red) and subsequently used for ROC curve analysis showing the area under curve AUC for pooled sites (C) and Glmnet selected sites (D) .

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Epigenetic DNA Methylation Signatures Associated With the Severity of Paget’s Disease of Bone

    doi: 10.3389/fcell.2022.903612

    Figure Lengend Snippet: Validation of predictive models for PDB severity scores. Orthogonal Partial Least Square (OPLS) classifier was trained on the discover set and tested on the cross-validation set. The features consisted of the list of significant sites from site and region level analysis based on the discovery samples (Panels A and C, n = 2,247 CpG sites) and separately, on a best explanatory subset from this pool of sites obtained with the Glmnet (Panels B and D, n = 33 CpG sites) (A,B) Scatter plots of predicted versus observed PDB_severity scores for each model. The observed PDB severity scores were also dichotomized into two groups based on the median PDB severity score of seven; low severity (PDB_severity_score <7; blue) and high severity (PDB_severity_score ≥7; red) and subsequently used for ROC curve analysis showing the area under curve AUC for pooled sites (C) and Glmnet selected sites (D) .

    Article Snippet: The Orthogonal Partial Least Square (OPLS) algorithm by SIMCA ver.15 (Umetrics, Sweden) was used to construct predictive models.

    Techniques: Biomarker Discovery