Consensus cell type annotation by running 10+ algorithms (KNN-Harmony, KNN-BBKNN, KNN-Scanorama, KNN-scVI, CellTypist, ONCLASS, Random Forest, SCANVI, SVM, XGBoost) on a labeled reference and transferring labels to a query dataset via majority voting. popV produces per-method labels, an overall consensus prediction, and an agreement score quantifying confidence across methods. Use when single-method annotation is insufficient or when you need ensemble uncertainty estimates for novel cell states.