If you are interested in customizing network generation, you can choose to change other parameters not described in 

. By clicking on the information symbol, further descriptions of the functions are given. If the settings are incompatible with Mavatar Discovery functionalities, a warning will appear detailing what went wrong. When all settings are complete, Generate Graph and the co-expression network will be constructed.

Two Networks Comparison

Adapting Connections Options

Filtering Gene Type

Filter P-Value

Basic Search

Advanced Search

Discovery

Mavatar Discovery - Documentation & Learning Hub

What is Mavatar Discovery?

Generate Graph

Network Core Genes and Mavatar Curated Gene Lists

DINA Network

Functional Enrichment

Edge Information

Functional Annotation

Gene Information

Conditions Expression Chart

DINA Network Similarity

Patient Stratification

Cell Type Explorer

Network cards

Shadow and Highlight Network Genes

Save

Tabs

Network and Canvas Management

Network Management and Functions

Tools

Metadata Annotation

Sample Selection for Network Analyses

Expression Data Collection

Data Pre-Processing

Data Collection and Pre-Processing

Standard - Correlation-Based

AI - Autoencoder

DINA Network Construction

Conditions Expression Analysis

DINA Network Similarity Analysis

Expression Heatmap Construction

UMAP Construction

Mavatar Discovery Tools – Scientific Background

Network Distribution and Modularity Analyses

Network Comparability to Known Interactions

Biological Relevance

DINA Network Similarity Validations

AI Network Validations

AI- or Correlation-Based Networks

DINA Network Evaluations

Version Information

Background Analyses and Approaches

Video Tutorials

Webinars

Case Studies

Cite Mavatar Discovery

Guides and Resources

Mavatar Discovery

Interpretation and biology

Functionalities

Data quality

Metadata

Reproducibility

Value proposition

Data Governance and Privacy