Nonnegative spatial factorization enables spatially-aware dimension reduction and facilitates interpretation of spatial transcriptomics data. NBThighlight
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Extended Data Fig. 1 Nonnegative factorizations recover a parts-based representation in"ggblocks” simulated multivariate spatial count data.
Nonnegative spatial factorization hybrid model has highest generalization accuracy compared to purely nonspatial probabilistic nonnegative matrix factorization and or nonnegative spatial factorization . NSFH spatial importance scores per feature are closest to scores computed from ground truth loadings. Spatial models used all observations as inducing points. Mixed genes is true for simulations where features have loadings on both spatial and nonspatial components.
Extended Data Fig. 5 Benchmarking spatial and nonspatial factor models on Slide-seqV2 mouse hippocampus gene expression data.
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