heatFilter: Graph filter with the heat kernel: f(x) = exp(-beta |x /...

In kharchenkolab/sccore: Core Utilities for Single-Cell RNA-Seq

Graph filter with the heat kernel: f(x) = exp(-\beta |x / \lambda_m - a|^b)

Description

Graph filter with the heat kernel: f(x) = exp(-\beta |x / \lambda_m - a|^b)

Usage

heatFilter(x, l.max, order = 1, offset = 0, beta = 30)

Arguments

x	numeric Values to be filtered. Normally, these are graph laplacian engenvalues.
l.max	numeric Maximum eigenvalue on the graph (\lambda_m in the equation)
order	numeric Parameter b in the equation. Larger values correspond to the sharper kernel form (default=1). The values should be positive.
offset	numeric Mean kernel value (a in the equation), must be in [0:1] (default=0)
beta	numeric Parameter \beta in the equation. Larger values provide stronger smoothing. \beta=0 corresponds to no smoothing (default=30).

Value

smoothed values for 'x'

See Also

Other graph smoothing: computeChebyshevCoeffs(), smoothChebyshev(), smoothSignalOnGraph()

kharchenkolab/sccore documentation built on June 2, 2025, 12:43 p.m.