1. Upload Data File: Click "Choose file" to upload your input file (.tsv format).
2. Download Sample Template: Click "Sample file" to obtain a sample text file format reference or you can download the sample file from the tool 'STRING' in .tsv format.
3. After uploading the sample file select a node.
4. Click to 'Run Algorithm' to get the result.
5. Drag the nodes to see its path.
6. Use the "Reset" button to clear inputs and refresh the simulator.
The diagram represents a gene co-expression network, which is best analyzed using graph theory concepts.
A gene co-expression network is modeled as a graph ๐บ =(๐,๐ธ) where:
▪ Nodes (๐): Represent genes
▪ Edges (๐ธ): Represent connections between genes based on their expression correlation.
▪ Edge Weights: The correlation values between genes, where higher values indicate stronger co-expression.