Science
Multi-omics Integration
MOFA-style joint factorization across RNA, ATAC, proteomics, methylation.
Live
Drop in CSV/TSV exports from any number of omics layers — RNA-seq, ATAC-seq, proteomics, methylation — and SciVue aligns them by shared sample IDs, z-scores each view, and learns joint latent factors via power-iteration SVD. Outputs per-factor sample scores, per-view variance explained, and per-feature loadings for figure-ready interpretation.
Any number of views
Upload an extra modality and it joins the factorization on the fly.
Per-view variance
See which factors are RNA-driven vs ATAC-driven vs protein-driven.
Editable SVG
Sample-score bar plot exports as SciVue SVG for any panel.
Who it's for
- Cancer multi-omics figures
- CITE-seq + RNA joint analysis
- Mechanism-of-action across modalities
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