Sample groups(5): Affected/Female; Affected/Male; Control/Female; Control/Male; QC-test

Perform data analysis on user-uploaded data

STEP 1: Load your data file (tab-delimited text file or csv file)     Load example file    Classify metabolite names via RefMet

File format required:
Column 1: sample names
Column 2: group identifier (letters, numbers or text)
Columns 3 to n: Variables

View input file

STEP 2: Choose a method below
Normalization and scaling
Sample normalization:
Normalization method:
Analyte scaling:
Scaling method:
Relative log abundance plot:
Mode:
Bargraphs and Boxplots
Bargraph:
 ANALYTE:
Bargraph ratio:
ANALYTE1:
ANALYTE2:
Boxplot:
 ANALYTE:
Univariate Analysis
Volcano Plot:
Select one or more experimental factors for each of Groups 1 and 2.
The members of each group should be DIFFERENT.

Group1Experimental factorGroup2
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)

P-value cutoff:     Fold-change cutoff:
ANOVA analysis: Select 2 or more experimental factors for ANOVA analysis.
GroupExperimental factor
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)

P-value cutoff:
Clustering and Correlation
T-test/Wilcoxon test:
ANALYTE:
  Method:
Hierarchical Cluster Analysis:
Cluster analysis:
Pearson Correlation:
ANALYTE1:
ANALYTE2:
Clustered correlation analysis:
Correlation coefficient cutoff (0 to 1):
Multivariate Analysis
Principal Component Analysis:
Select 2 or more experimental factors for PCA analysis.
GroupExperimental factor
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)
Linear Discriminant Analysis:
Select 3 or more experimental factors for LDA analysis.
GroupExperimental factor
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)
Classification and Feature Analysis
OPLS-DA/VIP analysis:
Select one or more experimental factors for each of Groups 1 and 2.
The members of each group should be DIFFERENT.

Group1Experimental factorGroup2
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)
Random Forest/VIP analysis:
Select 2 or more experimental factors for Random Forest analysis.
GroupExperimental factor
Affected/Female(21)
Affected/Male(20)
Control/Female(17)
Control/Male(13)
QC-test(3)
Number of analytes to display results:
Data matrix (input file)
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