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Table 1 Each parameter of the multivariate statistical analysis

From: Serum metabolomics in chickens infected with Cryptosporidium baileyi

Samples

Models

R2X (cumulative)

R2Y (cumulative)

Q2(cumulative)

Q2

All

PCA-X

0.34

 

0.036

 

Case 1–Con 1a

PLS-DA

0.37

0.95

0.81

 

OPLS-DA

0.37

0.95

0.86

− 0.61

  1. R2Y metric describing the percentage of Y matric explained by the model, Q2 (cumulative) metric describing the predictive ability of the model, Q2 metric representing a parameter that describes whether the OPLS-DA opls-da model is over-fitted, PCA principal component analysis, PLS-DA partial least squares-discriminant analysis, OPLS-DA orthogonal partial least squares-discriminant analysis,
  2. aCase 1: experimental group (Cryptosporidium baileyi-infected chickens); Con 1: mock-inoculated (with phosphate buffered saline) group