Rodin
« I invent nothing, I rediscover »
Guide: Metabolomics Version 1.9.0
Datasets
Feature Table
Class Labels
targeted
Upload
Use Sample
Preprocessing
Preprocess Data
Threshold:
Normalization:
Quantile
Total Intensity
None
Drop NaN(class):
None
Log Transformation:
Scale:
Statistical Analysis
Select Column:
T-Test
One-Way ANOVA
PLS-DA
Two-Way ANOVA
SF Logistic Regression
SF Linear Regression
Random Forest Classifier
Random Forest Regressor
Log Fold Change
Two-Way ANOVA Parameters
Moderator:
Run Two-Way ANOVA
SF Linear Regression Parameters
Degree:
Moderator:
Interaction:
Run SF Linear Regression
SF Logistic Regression Parameters
Degree:
Moderator:
Interaction:
Run SF Logistic Regression
Random Forest Classifier Parameters
Number of Estimators:
Run Random Forest Classifier
Random Forest Regressor Parameters
Number of Estimators:
Run Random Forest Regressor
Fold Change Parameters
Reference Group:
Run Fold Change
Results
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Features
Visualisation
2D Plot
Dimensionality Reduction
PCA
UMAP
t-SNE
Feature Column
Cutoff
Hue
Size
Markers
Title
Volcano Plot
Feature Column
Effect Size
Significance Line
Effect Size Line
Title
Clustergram
Feature Column
Cutoff
Standardize
Row
Column
None
Hue
Title
Box Plot
Type
Box Plot
Violin Plot
Scatter Plot
Rows
Hue
Pathways
Trend
OLS
Lowess
Expanding
None
Title
Pathway Analysis
Run Pathway Analysis
Feature Column:
Mode:
Positive
Negative
Stable Positive
Stable Negative
Statistics Column:
P-Value Cutoff:
Pathways Threshold:
Show Compounds
All