Fig. 1: Overview of CellAssign. | Nature Methods

Fig. 1: Overview of CellAssign.

From: Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling

Fig. 1

a, CellAssign takes raw count data from a heterogeneous scRNA-seq population, along with a set of known marker genes, for various cell types under study. Using CellAssign for inference, each cell is probabilistically assigned to a given cell type without any need for manual annotation or intervention, accounting for any batch- or sample-specific effects. b, An overview of the CellAssign probabilistic graphical model. The random variables and data that form the model, along with the distributional assumptions, are shown. c, Descriptions of the random variables used in the CellAssign probabilistic model, along with their prior distributions.

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