SpaGene | R Documentation |
Identify spatial variable genes based on spatial connectness of spots with high expression compared to random permutation
SpaGene(
expr,
location,
normalize = T,
topn = floor(0.2 * dim(location)[1]),
knn = 8,
perm = 500,
minN = 0,
sizefactor = 10000,
weight = NULL
)
expr |
gene expression matrix, the row is the gene and the column is the spot/cell |
location |
location matrix, the row number of location should match the column number of expr |
normalize |
whether to normalize the data (default: TRUE) |
topn |
the ratio of spots/cells considered high expression (default: 20 percent of the total spots/cells) |
knn |
the number of nearest neighbours to search (default: 8) |
perm |
the number of random permutations (default: 500) |
minN |
the minimum number of spots/cells with gene expression. Genes expressed equal to or less than minN spots/cells are excluded (default:0) |
sizefactor |
the size factor for normalization (default:10000) |
weight |
weights assigned to degree. If NULL, equal weight, wi=1, i is the degree, i=0,1,...2*knn; if "linear", wi=0.5+0.5*i/(2*knn); or weight is a numeric vector of length 2*knn+1 (default:NULL) |
a list containing results of each gene (spagene_res) and normalized gene expression matrix (normexp)
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