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partial least-squares regression using the simpls algorithm  (MathWorks Inc)


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    MathWorks Inc partial least-squares regression using the simpls algorithm
    Partial Least Squares Regression Using The Simpls 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/pm36446382-507-22-24
    Average 90 stars, based on 1 article reviews
    partial least-squares regression using the simpls algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Evaluating the Capability of Satellite Hyperspectral Imager, the ZY1–02D, for Topsoil Nitrogen Content Estimation and Mapping of Farmlands in Black Soil Area, China
    Article Snippet: We used the SIMPLS algorithm [60] to carry out the PLSR procedure in MATLAB (MathWorks, Inc. Natick, MA, USA).

    Article Title: A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
    Article Snippet: SIMPLS algorithm was used to solve PLSR as implemented in MATLAB R2016a (plsregress function).

    Article Title: The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy.
    Article Snippet: Objective: Currently, the long-term outcomes of uncomplicated type B aortic dissection (TBAD) patients managed with optimal medical therapy (OMT) remain poor.. Aortic expansion is a major factor that determines patient long-term survival.. The objective of this study was to investigate the association between anatomic shape features and (i) OMT outcome; (ii) aortic growth rate for TBAD patients initially treated with OMT.

    Gene Expression:

    Article Title: Gabrb3 is required for the functional integration of pyramidal neuron subtypes in the somatosensory cortex.
    Article Snippet: .. To investigate whether brain-wide gene expression predicts ASD-related changes in resting state functional connectivity, we utilized partial least-squares (PLS) regression using the SIMPLS algorithm (Matlab plsregress) with the 213 brain regions as samples, the 10,438 gene expression values across these samples as predictors (X), and atypical connectivity as the response variable (Y). ..

    Functional Assay:

    Article Title: Gabrb3 is required for the functional integration of pyramidal neuron subtypes in the somatosensory cortex.
    Article Snippet: .. To investigate whether brain-wide gene expression predicts ASD-related changes in resting state functional connectivity, we utilized partial least-squares (PLS) regression using the SIMPLS algorithm (Matlab plsregress) with the 213 brain regions as samples, the 10,438 gene expression values across these samples as predictors (X), and atypical connectivity as the response variable (Y). ..



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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