The SpatialDecon library implements the SpatialDecon algorithm for mixed cell deconvolution in spatial gene expression datasets. (This algorithm also works in bulk expression profiling data.)
In the publication introducing SpatialDecon ("Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data"), it has been mentioned within the Section of Reverse deconvolution that LYZ gene expression, had it's 84% of expression attributed to macrophages and monocytes. May I know how this was deduced or calculated ?
In simple terms, if I want to find out in which cell type, is a particular gene maximum expressed, how can we perform that using SpatialDecon?
In the publication introducing SpatialDecon ("Advances in mixed cell deconvolution enable quantification of cell types in spatial transcriptomic data"), it has been mentioned within the Section of Reverse deconvolution that LYZ gene expression, had it's 84% of expression attributed to macrophages and monocytes. May I know how this was deduced or calculated ?
In simple terms, if I want to find out in which cell type, is a particular gene maximum expressed, how can we perform that using SpatialDecon?