Omics_PCA: Partial least squares-discriminant analysis (PLS-DA) analysis...

In MASHUOA/MassOmics: Data extraction pipeline for large-scale GC-MS metabolomics datasets

Description

Partial least squares-discriminant analysis (PLS-DA) is used to compress the dimension of multivariate data, and thereby display outliers and relationships between samples or classification of conditions. Under <Statistics> click <Run PLSDA> and a user interface window will appear to adjust a number of conditions, sphere radius, text size, log transfor-mation, and model validations. To plot 3 dimensional PLSDA, click <submit> and a pop-out window will allow the user to classify sam-ples into each group. All parameters can be changed on the user inter-face of PLSDA and replotted instantly via the <Re-Plot> function.

Usage

Omics_PCA()

Value

None

Examples

Omics_PCA()

MASHUOA/MassOmics documentation built on Jan. 23, 2022, 9:08 p.m.