MVDA in Metabolomics

Principal Component Analysis (PCA) is a technique for…

• Data augmentation

• Dimensionality reduction

• Variance normalization

PCA is the most popularly used dimensionality reduction algorithm. Which of the following are true about PCA?

• PCA is a supervised method

• It searches for the directions that data have the largest variance

• PCA is a Regression Modelling

Outlier is an object that deviate from other objects in a model. What could be the possible cause of this outlier?

• Wrong labelling between group 1 and 3 or 2 and 3

• Measurement error

• Extreme/interesting sample

PLS-DA is a

• Supervised

• Unsupervised

PLS-DA used to study

• Overview

• Discrimination

• Correlation

• Prediction

PLS used to study

• Overview

• Discrimination

• Correlation

• Prediction

Score plot will not provide information of

• grouping

• outlier

• unique variable

• pattern