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Eigenvector Research Inc pls toolbox version 4.0 matlab package
<t>Partial</t> <t>least</t> <t>squares</t> discriminant analysis (PLS/DA) of lipidomics profiles for obesity discordant co-twins, utilizing only the 133 identified peaks and two classes (obese and non-obese co-twins) to build the model. Three latent variables were used (Q 2 = 47%). (A) PLS/DA score plot. Genders and twin-pair identifiers are marked for each sample, although this information was not used to build the model. (B) Fold changes for most important variables based on VIP analysis contributing to the PLS/DA model.
Pls Toolbox Version 4.0 Matlab Package, supplied by Eigenvector Research 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/pls+toolbox+version+4%2E0/pls+toolbox+version+4+0+for+use+with+matlabtm/pmc01789242-114-12-18
Average 90 stars, based on 1 article reviews
pls toolbox version 4.0 matlab package - by Bioz Stars, 2026-10
90/100 stars

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1) Product Images from "Acquired Obesity Is Associated with Changes in the Serum Lipidomic Profile Independent of Genetic Effects – A Monozygotic Twin Study"

Article Title: Acquired Obesity Is Associated with Changes in the Serum Lipidomic Profile Independent of Genetic Effects – A Monozygotic Twin Study

Journal: PLoS ONE

doi: 10.1371/journal.pone.0000218

Partial least squares discriminant analysis (PLS/DA) of lipidomics profiles for obesity discordant co-twins, utilizing only the 133 identified peaks and two classes (obese and non-obese co-twins) to build the model. Three latent variables were used (Q 2 = 47%). (A) PLS/DA score plot. Genders and twin-pair identifiers are marked for each sample, although this information was not used to build the model. (B) Fold changes for most important variables based on VIP analysis contributing to the PLS/DA model.
Figure Legend Snippet: Partial least squares discriminant analysis (PLS/DA) of lipidomics profiles for obesity discordant co-twins, utilizing only the 133 identified peaks and two classes (obese and non-obese co-twins) to build the model. Three latent variables were used (Q 2 = 47%). (A) PLS/DA score plot. Genders and twin-pair identifiers are marked for each sample, although this information was not used to build the model. (B) Fold changes for most important variables based on VIP analysis contributing to the PLS/DA model.

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Article Title: Characterization of Wheat Varieties Using Terahertz Time-Domain Spectroscopy
Article Snippet: The PLS analysis was performed on THz spectral data with the MATLAB software package (Version 2012a, Mathworks Inc., Natick, MA, USA) using the PLS toolbox (Version 4.0, Eigenvector Research Inc., Wenatchee, USA) and user-written scripts.

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Article Snippet: Matlab version 7.9 (MathWorks, Natick, MA, USA) and the PLS Toolbox version 4.0 (Eigenvector Research Inc.—USA) for Matlab were utilized to perform the qualitative analysis of the spectra using PCA, according to the description presented elsewhere [3,31].

Software:

Article Title: Visible-near-infrared spectroscopy to predict water-holding capacity in normal and pale broiler breast meat.
Article Snippet: .. Chemometric analysis was performed using Matlab software (versopm 7.01, The MathWorks Inc., Natick, MA) with PLS Toolbox (version 4.0, Eigenvector Research Inc., Manson, WA) and Unscrambler software (version 9.8, Camo, Trondheim, Norway). ..



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Partial least squares discriminant analysis (PLS/DA) of lipidomics profiles for obesity discordant co-twins, utilizing only the 133 identified peaks and two classes (obese and non-obese co-twins) to build the model. Three latent variables were used (Q 2 = 47%). (A) PLS/DA score plot. Genders and twin-pair identifiers are marked for each sample, although this information was not used to build the model. (B) Fold changes for most important variables based on VIP analysis contributing to the PLS/DA model.

Journal: PLoS ONE

Article Title: Acquired Obesity Is Associated with Changes in the Serum Lipidomic Profile Independent of Genetic Effects – A Monozygotic Twin Study

doi: 10.1371/journal.pone.0000218

Figure Lengend Snippet: Partial least squares discriminant analysis (PLS/DA) of lipidomics profiles for obesity discordant co-twins, utilizing only the 133 identified peaks and two classes (obese and non-obese co-twins) to build the model. Three latent variables were used (Q 2 = 47%). (A) PLS/DA score plot. Genders and twin-pair identifiers are marked for each sample, although this information was not used to build the model. (B) Fold changes for most important variables based on VIP analysis contributing to the PLS/DA model.

Article Snippet: Multivariate analyses were performed using Matlab version 7.2 (Mathworks, Inc.) and the PLS Toolbox version 4.0 Matlab package (Eigenvector Research, Inc.).

Techniques: