Virtual Cell Modeling and Novelty Analysis
VCM
Virtual Cell Modeling is an advanced computational analysis service designed to identify disease-driving cell states, molecular programs, intercellular signaling mechanisms, and candidate therapeutic targets from customer-provided omics data. It integrates cell-state modeling, donor-aware statistical testing, pathway and regulatory-network analysis, intercellular communication, disease-state scoring, and in silico gene perturbation to determine which genes or pathways may shift diseased cells toward a healthier state. The analysis provides novelty results for each candidate target, including evidence strength, disease specificity, cell-type specificity, predicted therapeutic effect, reproducibility, and the extent to which the finding is supported or not previously emphasized in reference datasets and published evidence.
Disease-state modeling, donor-aware differential analysis, cell-state abundance, gene programs, regulatory networks, cell-cell communication, in silico knockout/overexpression, disease-reversal scoring, and quantitative novelty ranking.
Example UMAP projection showing per-cell predicted shift magnitude following an in silico SPI1 knockout — illustrating the kind of publication-quality figure included in the analysis report.
