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pls-toolbox package  (Eigenvector Research Inc)

 
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    Eigenvector Research Inc pls-toolbox package
    Pls Toolbox 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+package/pls+toolbox+software/10__1016_slash_j__compag__2024__109856-88-4-6
    Average 90 stars, based on 1 article reviews
    pls-toolbox package - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: UPLC-QTOF-MS/MS-based metabolomic approach and gastroprotective effect of two chemotypes of Egletes viscosa (L.) less. against ethanol-induced gastric ulcer in mice.
    Article Snippet: Ethnopharmacological relevance: Egletes viscosa (L.) (macela) is a native wild herb that can be found in different states of northeastern Brazil.. The infusions of its flower buds are traditionally used for the treatment of gastrointestinal disorders.. E. viscosa possesses two chemotypes (named A and B), distinguishable by the composition of the essential oil from the flower buds.

    Article Title: Quantitative prediction of grape ripening parameters combining an autonomous IoT spectral sensing system and chemometrics
    Article Snippet: This involved both the PLS-Toolbox package (Eigenvector Research, Inc., Manson, Washington), built-in, and custom functions.



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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: