Review





Similar Products

pls-toolbox 4.0  (MathWorks Inc)
90
MathWorks Inc pls-toolbox 4.0
Pls Toolbox 4.0, 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/pls_toolbox+4%2E0/pmc10921463-110-24-27?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
pls-toolbox 4.0 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
pls toolbox 4.0  (Eigenvector Research Inc)
90
Eigenvector Research Inc pls toolbox 4.0
Pls Toolbox 4.0, 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+4%2E0/pmc10189245-113-6-9?v=Eigenvector+Research+Inc
Average 90 stars, based on 1 article reviews
pls toolbox 4.0 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
pls toolbox version 4.0 matlab package  (Eigenvector Research Inc)
90
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+4%2E0/pmc01789242-114-12-18?v=Eigenvector+Research+Inc
Average 90 stars, based on 1 article reviews
pls toolbox version 4.0 matlab package - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
pls toolbox 4.0  (MathWorks Inc)
90
MathWorks Inc pls toolbox 4.0
<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 4.0, 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/pls_toolbox+4%2E0/pmc03125246-122-7-6?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
pls toolbox 4.0 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
hotelling's t 2 statistics matlab pls toolbox 4.0  (MathWorks Inc)
90
MathWorks Inc hotelling's t 2 statistics matlab pls toolbox 4.0
<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.
Hotelling's T 2 Statistics Matlab Pls Toolbox 4.0, 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/pls_toolbox+4%2E0/pmc03293912-457-12-11?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
hotelling's t 2 statistics matlab pls toolbox 4.0 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
pls toolbox version 4.0  (Eigenvector Research Inc)
90
Eigenvector Research Inc pls toolbox version 4.0
<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, 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+4%2E0/10__3390_slash_app9194141-106-9-13?v=Eigenvector+Research+Inc
Average 90 stars, based on 1 article reviews
pls toolbox version 4.0 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


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: