iModMix

Expression data 1

Principal component analysis for each phenotype

Select the phenotype of interest

Principal component analysis

Annotation data 1

Sparse partial correlations: data 1

Partial correlation matrix

Hierarchical clustering

Hierarchical clustering Image (.png)

Cluster assignments

If you uploaded annotation data, select columns to view

Cluster assigment table

First principal component from each module (Eigenfeatures)

Eigenfeatures table

Eigenfeatures heatmap

Eigenfeatures heatmap Image (.png)

Cluster assignments enriched

Note: Upload the Annotation data to be able to run enrichment analysis.

Select Library

Run Enrichment Analysis

Enrichment analysis Data 1

Metadata

Note: Upload the metadata data to be able to run phenotype analysis.

Classification between phenotypes by eigenfeatures

Select the phenotype of interest

Select p-value Threshold

Classification table

Boxplot classification Image (.png)

Module screening

Select the module of interest

If you uploaded annotation data, select columns to view

Module Features

PCA loading by module

PCA_Loadings

Heatmap by module

Heatmap

Expression data 2

Principal component analysis for each phenotype

Select the phenotype of interest

Principal component analysis

Annotation data 2

Sparse partial correlations: data 2

Partial correlation

Hierarchical clustering

Hierarchical clustering Image (.png)

Cluster assignments

If you uploaded annotation data, select columns to view

Cluster assigment

First principal component from each module (Eigenfeatures)

Eigenfeatures table

Eigenfeatures heatmap

Eigenfeatures heatmap Image (.png)

Cluster assignments enriched

Note: Upload the Annotation data to be able to run enrichment analysis.

Select Library

Run Enrichment Analysis

Enrichment analysis Data 2

Metadata

Classification between phenotypes by eigenfeatures

Select the phenotype of interest

Select p-value Threshold

Classification table

Boxplot classification Image (.png)

Module screening

Select the module of interest

If you uploaded annotation data, select columns to view

Module Features

PCA loading by module

PCA_Loadings

Heatmap by module

Heatmap

Expression data 3

Principal component analysis for each phenotype

Select the phenotype of interest

Principal component analysis

Annotation data 3

Sparse partial correlations: data 3

Partial correlation

Hierarchical clustering

Hierarchical clustering Image (.png)

Cluster assignments

If you uploaded annotation data, select columns to view

Cluster assigment

First principal component from each module (Eigenfeatures)

Eigenfeatures table

Eigenfeatures heatmap

Eigenfeatures heatmap Image (.png)

Cluster assignments enriched

Note: Upload the Annotation data to be able to run enrichment analysis.

Select Library

Run Enrichment Analysis

Enrichment analysis data 3

Metadata

Classification between phenotypes by eigenfeatures

Select the phenotype of interest

Select p-value Threshold

Classification table

Boxplot classification Image (.png)

Module screening

Select the module of interest

If you uploaded annotation data, select columns to view

Module Features

PCA loading by module

PCA_Loadings

Heatmap by module

Heatmap

Correlation between datasets

Select correlation threshold

Omics correlation

Module network between datasets

Network as .html

Top modules correlations

Select the number of correlated modules to display

Top module correlation details

Select the correlated modules to display

Features from data 1

Features from data 2

Corrplot: Data 1 and Data 2

Modules correlation: Data 1 and Data 2

Modules_1-2_correlation

Data 1: Features from top module

If you uploaded annotation data, select columns to view

Data1_Features_TopModule12

Classification between phenotypes by Data 1

Select the phenotype of interest

Select p-value Threshold

Data 2: Features from top module

If you uploaded annotation data, select columns to view

Data2_Features_TopModule12

Classification between phenotypes by Data 2

Select the phenotype of interest

Select p-value Threshold

Top modules correlations

Select the number of correlated modules to display

Top module correlation details

Select the correlated modules to display

Features from data 1

Features from data 3

Corrplot: Data 1 and Data 3

Modules correlation: Data 1 and Data 3

Modules_1-3_correlation

Data 1: Features from top module

If you uploaded annotation data, select columns to view

Data1_Features_TopModule13

Classification between phenotypes by Data 1

Select the phenotype of interest

Select p-value Threshold

Data 3: Features from top module

If you uploaded annotation data, select columns to view

Data3_Features_TopModule13

Classification between phenotypes by Data 3

Select the phenotype of interest

Select p-value Threshold

Top modules correlations

Select the number of correlated modules to display

Top module correlation details

Select the correlated modules to display

Features from data 2

Features from data 3

Corrplot: Data 2 and Data 3

Modules correlation: Data 2 and Data 3

Modules_2-3_correlation

Data 2: Features from top module

If you uploaded annotation data, select columns to view

Data2_Features_TopModule23

Classification between phenotypes by Data 2

Select the phenotype of interest

Select p-value Threshold

Data 3: Features from top module

If you uploaded annotation data, select columns to view

Data3_Features_TopModule23

Classification between phenotypes by Data 3

Select the phenotype of interest

Select p-value Threshold

Upload Expression Data 1

Upload Annotation Data 1

Upload Expression Data 2

Upload Annotation Data 2

Upload Expression Data 3

Upload Annotation Data 3

Upload Metadata

Expression data 1

Principal component analysis for each phenotype

Annotation data 1

Sparse partial correlations: data 1

Hierarchical clustering

Cluster assignments

First principal component from each module (Eigenfeatures)

Eigenfeatures heatmap

Cluster assignments enriched

Metadata

Classification between phenotypes by eigenfeatures

Module screening

PCA loading by module

Heatmap by module

Expression data 2

Principal component analysis for each phenotype

Annotation data 2

Sparse partial correlations: data 2

Hierarchical clustering

Cluster assignments

First principal component from each module (Eigenfeatures)

Eigenfeatures heatmap

Cluster assignments enriched

Metadata

Classification between phenotypes by eigenfeatures

Module screening

PCA loading by module

Heatmap by module

Expression data 3

Principal component analysis for each phenotype

Annotation data 3

Sparse partial correlations: data 3

Hierarchical clustering

Cluster assignments

First principal component from each module (Eigenfeatures)

Eigenfeatures heatmap

Cluster assignments enriched

Metadata

Classification between phenotypes by eigenfeatures

Module screening

PCA loading by module

Heatmap by module

Correlation between datasets

Module network between datasets

Top modules correlations

Top module correlation details

Features from data 1

Features from data 2

Corrplot: Data 1 and Data 2

Modules correlation: Data 1 and Data 2

Data 1: Features from top module

Classification between phenotypes by Data 1

Data 2: Features from top module

Classification between phenotypes by Data 2

Top modules correlations

Top module correlation details

Features from data 1

Features from data 3

Corrplot: Data 1 and Data 3

Modules correlation: Data 1 and Data 3

Data 1: Features from top module

Classification between phenotypes by Data 1

Data 3: Features from top module

Classification between phenotypes by Data 3

Top modules correlations

Top module correlation details

Features from data 2

Features from data 3

Corrplot: Data 2 and Data 3

Modules correlation: Data 2 and Data 3

Data 2: Features from top module

Classification between phenotypes by Data 2

Data 3: Features from top module