A web-based interactive Principal Component Analysis tool supporting 3D visualization of high-dimensional data. Upload your expression matrix or trait data, perform real-time PCA computation, and explore sample relationships through rotatable 3D scatter plots with customizable grouping and labeling.
Perform principal component analysis directly in the browser with optional data scaling and transposition. Supports high-dimensional biological data and trait matrices.
Explore PC1, PC2, and PC3 in an interactive 3D scatter plot. Rotate, zoom, and pan to discover clustering patterns. Hover for sample details and variance explanations.
Upload sample metadata for color-coded grouping. Customize point shapes, sizes, and colors. Add text labels and export publication-quality figures in PNG or PDF format.
Configure PCA computation and visualization options
Tab-delimited or CSV (samples × features)
Sample names and group labels (optional)
Interactive 3D visualization (drag to rotate, scroll to zoom)
Upload data matrix with group info, then click Generate 3D PCA