EXPath Tool 2.0

WGCNA Analysis Results

Read-Only Mode: This is a public Demo project and is read-only. If you want to test different parameters, please create your own project.

Gene Set:

Select all or filter by highest variance.

Soft Power (β):

Manual threshold (e.g., 6 or 12).

Scale-Free Topology (R²):

Target R² for network topology (default: 0.8).

Min Module Size:

Minimum genes per module (default: 30).

Merge Cut Height:

Threshold to merge similar modules (default: 0.2).

Trait Settings

Traits are used to calculate correlations between module eigengenes and sample characteristics. The Sample column is fixed and must exactly match the expression dataset. Trait names may contain letters, numbers, and underscores only. Trait values must be numeric.

The default matrix uses condition-based One-Hot Encoding. You may customize Trait columns and values, or upload a TSV file.

Upload TSV

Module-Trait Relationships

Displays the correlation between gene modules and your experimental conditions. Red indicates positive correlation, blue indicates negative correlation.

Gene Module Overview

Module turquoise 10770 genes
Module blue 5181 genes
Module brown 4120 genes
Module yellow 3023 genes
Module green 1291 genes
Module red 849 genes
Module black 713 genes
Module pink 612 genes
Module magenta 406 genes
Module purple 341 genes
Module aliceblue 317 genes
Module antiquewhite 291 genes
Module aqua 278 genes
Module aquamarine 208 genes
Module azure 201 genes
Module beige 200 genes
Module bisque 97 genes
Module blanchedalmond 89 genes
Module blueviolet 79 genes
Module burlywood 78 genes
Module cadetblue 23 genes

Download Full Module List Export all genes and their assigned modules.

Hub Gene Network

Module-Module Correlation Heatmap