Evaluate the effect of epsilon on NSI

Usage

eval_eps(
  X0 = NULL,
  Xs = NULL,
  W = NULL,
  eps = NULL,
  G = NULL,
  top = NULL,
  eps.n = 4,
  na = 2,
  nb = 2
)

X0: initial condition matrix
Xs: network diffusion steady state; required if W not provided
W: symmetrically normalized adjacency matrix W = D^-1 A D^-1, see normalize_adj_mat() function; required if Xs is not provided
eps: optional vector with epsilon values
G: igraph object
top: top genes to consider
eps.n: number of eps points for every order of magnitude
na: number of orders of magnitudes above the one detected in X0 to set max eps
nb: number of orders of magnitudes below the one detected in X0 to set min eps

list of data frames