slingParams: Methods for parameters used by Slingshot

slingParamsR Documentation

Methods for parameters used by Slingshot

Description

Extracts additional control parameters used by Slingshot in lineage inference and fitting simultaneous principal curves.

Usage

slingParams(x)

## S4 method for signature 'PseudotimeOrdering'
slingParams(x)

## S4 method for signature 'SingleCellExperiment'
slingParams(x)

## S4 method for signature 'SlingshotDataSet'
slingParams(x)

Arguments

x

an object containing slingshot output.

Value

The list of additional parameters used by Slingshot. These include parameters related to the cluster-based minimum spanning tree:

  • start.clus character. The label of the root cluster, or a vector of cluster labels giving the root clusters of each disjoint component of the graph.

  • end.clus character. Vector of cluster labels indicating terminal clusters.

  • start.given logical. A logical value indicating whether the initial state was pre-specified.

  • end.given logical. A vector of logical values indicating whether each terminal state was pre-specified

  • omega numeric or logical. Granularity parameter determining the maximum edge length for building the MST. See getLineages.

  • omega_scale numeric. Scaling factor used for setting maximum edge length when omega = TRUE. See getLineages.

They may also specify how simultaneous principal curves were constructed (for a complete listing, see getCurves:

  • shrink logical or numeric between 0 and 1. Determines whether and how much to shrink branching lineages toward their shared average curve.

  • extend character. Specifies the method for handling root and leaf clusters of lineages when constructing the initial, piece-wise linear curve. Accepted values are 'y' (default), 'n', and 'pc1'. See getCurves for details.

  • reweight logical. Indicates whether to allow cells shared between lineages to be reweighted during curve-fitting. If TRUE, cells shared between lineages will be iteratively reweighted based on the quantiles of their projection distances to each curve.

  • reassign logical. Indicates whether to reassign cells to lineages at each iteration. If TRUE, cells will be added to a lineage when their projection distance to the curve is less than the median distance for all cells currently assigned to the lineage. Additionally, shared cells will be removed from a lineage if their projection distance to the curve is above the 90th percentile and their weight along the curve is less than 0.1.

  • shrink.method character. Denotes how to determine the amount of shrinkage for a branching lineage. Accepted values are the same as for kernel in the density function (default is "cosine"), as well as "tricube" and "density". See getCurves for details.

  • approx_points numeric. Number of points to use in estimating curves. See getCurves for details.

  • allow.breaks logical. Whether to allow curves that diverge very early on in a trajectory to have different starting points.

  • Other parameters specified by principal_curve.

Examples

data("slingshotExample")
rd <- slingshotExample$rd
cl <- slingshotExample$cl
pto <- slingshot(rd, cl, start.clus = '1')
slingParams(pto)

kstreet13/slingshot documentation built on April 6, 2023, 11:12 p.m.