Generate a co-expression network for genes
Embed and use ZeroEval for evaluation tasks
https://huggingface.co/spaces/VIDraft/mouse-webgen
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CryptoCEN Network is a data visualization tool designed to generate and analyze co-expression networks for genes. It is a specialized platform that helps researchers and bioinformatics professionals to identify and visualize interactions between genes based on their expression levels. By leveraging advanced algorithms and visualization techniques, CryptoCEN Network provides insights into gene relationships, enabling better understanding of biological processes and disease mechanisms.
• Interactive Network Visualization: Explore gene co-expression networks in an interactive and intuitive environment.
• Data Import & Export: Easily import gene expression datasets and export networks for further analysis.
• Advanced Analysis Tools: Perform module detection, Eigengene computation, and other network-level analyses.
• Customizable Settings: Tailor network parameters such as edge thresholds and layout options to suit your research needs.
• Scalability: Handle large datasets efficiently, making it suitable for genome-scale studies.
What types of data are compatible with CryptoCEN Network?
CryptoCEN Network supports gene expression datasets in CSV, Excel, or TXT formats, typically containing rows as genes and columns as samples.
How do I interpret the co-expression network?
The co-expression network shows genes as nodes and their interactions as edges. Strongly connected genes (modules) often indicate functional relationships or shared biological roles.
Can I customize the network visualization?
Yes, CryptoCEN Network allows customization of colors, node sizes, edge weights, and layouts to suit your analysis requirements.