MetaBc: Metabolomics data of B cells

In muma: Metabolomics Univariate and Multivariate Analysis

Description

Data from metabolomics analysis of B cells harvested in different conditions and at different time points

Usage

data(MetaBc)

Format

A data frame with 25 observations on the following 100 variables.

Samples

a factor with levels -LPS1 -LPS2 -LPS3 -LPS4 -LPS5 DAY1.1 DAY1.2 DAY1.3 DAY1.4 DAY1.5 DAY2.1 DAY2.2 DAY2.3 DAY2.4 DAY2.5 DAY3.1 DAY3.2 DAY3.3 DAY3.4 DAY3.5 DAY4.1 DAY4.2 DAY4.3 DAY4.4 DAY4.5

Class

a numeric vector

X0.89

a numeric vector

X0.93

a numeric vector

X0.95

a numeric vector

X0.98

a numeric vector

X1

a numeric vector

X1.03

a numeric vector

X1.11

a numeric vector

X1.17

a numeric vector

X1.17.1

a numeric vector

X1.21

a numeric vector

X1.24

a numeric vector

X1.3

a numeric vector

X1.32

a numeric vector

X1.43

a numeric vector

X1.47

a numeric vector

X1.56

a numeric vector

X1.58

a numeric vector

X1.64

a numeric vector

X1.71

a numeric vector

X1.71.1

a numeric vector

X1.89

a numeric vector

X1.9

a numeric vector

X2.03

a numeric vector

X2

a numeric vector

X2.06

a numeric vector

X2.11

a numeric vector

X2.22

a numeric vector

X2.34

a numeric vector

X2.37

a numeric vector

X2.39

a numeric vector

X2.44

a numeric vector

X2.53

a numeric vector

X2.51

a numeric vector

X2.49

a numeric vector

X2.65

a numeric vector

X2.73

a numeric vector

X2.8

a numeric vector

X2.84

a numeric vector

X2.91

a numeric vector

X3.03

a numeric vector

X3.13

a numeric vector

X3.19

a numeric vector

X3.24

a numeric vector

X3.23

a numeric vector

X3.27

a numeric vector

X3.26

a numeric vector

X3.33

a numeric vector

X3.38

a numeric vector

X3.39

a numeric vector

X3.4

a numeric vector

X3.41

a numeric vector

X3.41.1

a numeric vector

X3.42

a numeric vector

X3.45

a numeric vector

X3.48

a numeric vector

X3.47

a numeric vector

X3.49

a numeric vector

X3.5

a numeric vector

X3.53

a numeric vector

X3.56

a numeric vector

X3.61

a numeric vector

X3.65

a numeric vector

X3.63

a numeric vector

X3.67

a numeric vector

X3.69

a numeric vector

X3.69.1

a numeric vector

X3.72

a numeric vector

X3.77

a numeric vector

X3.83

a numeric vector

X3.81

a numeric vector

X3.8

a numeric vector

X3.85

a numeric vector

X3.84

a numeric vector

X3.91

a numeric vector

X3.89

a numeric vector

X3.95

a numeric vector

X4

a numeric vector

X4.03

a numeric vector

X4.06

a numeric vector

X4.11

a numeric vector

X4.17

a numeric vector

X4.24

a numeric vector

X4.33

a numeric vector

X5.38

a numeric vector

X6.51

a numeric vector

X6.88

a numeric vector

X7.04

a numeric vector

X7.18

a numeric vector

X7.32

a numeric vector

X7.41

a numeric vector

X7.36

a numeric vector

X7.53

a numeric vector

X7.74

a numeric vector

X8.1

a numeric vector

X8.19

a numeric vector

X8.44

a numeric vector

X8.71

a numeric vector

X8.93

a numeric vector

Details

Variables are named as NMR chemical shifts and values are the areas of NMR peaks, at any given chemical shift. The first column of the dataset represents the name of each sample and is informative of sample condition/treatment. The second column of the dataset reports the information regarding the belonging of each sample to a specific class of condition/treatment.

Source

Garcia-Manteiga, J.M. Metabolomics of B to Plasma Cell Differentiation. (2011) J Proteom Res.10(9)4165-4176.

muma documentation built on May 2, 2019, 9:45 a.m.