Step 1 · Load Dataset
Upload a TSV/CSV/Excel file exported from the IVCCA MATLAB tool. Optionally include a plain-text gene filter list (one symbol per line).
Step 2 · Correlation Matrix
Choose a correlation method and compute the IVCCA correlation matrix to unlock downstream visualisation and clustering tools.
Step 3 · Clustering & Dimensionality Reduction
Discover structure in your correlation matrix using K-means, PCA, and t-SNE projections.
Step 5 · Advanced Analysis
Gene-to-gene, gene-to-pathway, multi-pathway, Venn diagram, and network analysis.
Note:
These advanced features require additional file uploads and parameters. Use the API endpoints directly or implement full UI forms for these features.
API endpoints: /api/ivcca/gene-to-genes, /api/ivcca/gene-to-pathways, /api/ivcca/multi-pathway, /api/ivcca/venn-diagram, /api/ivcca/network-analysis
Session Status
Start by loading your IVCCA dataset (.xlsx, .csv, or .tsv). Follow the numbered workflow to reproduce the MATLAB pipeline.