orthogonal partial least square (opls) algorithm (Umetrics)
90
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Umetrics
orthogonal partial least square (opls) algorithm
Orthogonal Partial Least Square (Opls) Algorithm, 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
https://www.bioz.com/product/partial+least-squares+algorithm/simca+13/pmc09235511-128-4-10
Average 90 stars, based on 1 article reviews
Orthogonal Partial Least Square (Opls) Algorithm, 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
https://www.bioz.com/product/partial+least-squares+algorithm/simca+13/pmc09235511-128-4-10
Average 90 stars, based on 1 article reviews
orthogonal partial least square (opls) algorithm - by Bioz Stars,
2026-09
90/100 stars
Images
1) Product Images from "Epigenetic DNA Methylation Signatures Associated With the Severity of Paget’s Disease of Bone"
Article Title: Epigenetic DNA Methylation Signatures Associated With the Severity of Paget’s Disease of Bone
Journal: Frontiers in Cell and Developmental Biology
doi: 10.3389/fcell.2022.903612
Figure Legend 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) .
Techniques Used: Biomarker Discovery
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