Fig. 1: Overview of the computational framework of SONAR. | Nature Communications

Fig. 1: Overview of the computational framework of SONAR.

From: SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics

Fig. 1

SONAR is designed for cell-type deconvolution of spatial transcriptomic data. a SONAR inputs spatial transcriptomics expression matrix (top) with coordinates information (middle) and an annotated scRNA-seq data as cell type reference (bottom). b The Poisson-Gamma regression model of SONAR. c The spatial (kernel) weight and the adaptive tuning strategy (pre-clustering, and elastic weighting) applied in SONAR. d SONAR outputs a spatial map of cell types and the detailed cell type composition of each spot.

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