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Integration with mND function

Usage

mND_s(output = NULL, ind_adj = NULL, k = NULL, min.norm.val = 0)

Arguments

output

Xs

ind_adj

index of neighbours obtained from adj matrix, see 'neighbour_index' function

k

number of top k first neighbors

min.norm.val

normalized ND values below this value will be set to 0; this is useful to denoise the steady state of ND and focus only on the highest scores

Value

a list with:

  • mND: mND score

  • t: sum of top k neighbours