LeverageScore: Leverage Score Calculation

In satijalab/seurat: Tools for Single Cell Genomics

Leverage Score Calculation

Description

This function computes the leverage scores for a given object It uses the concept of sketching and random projections. The function provides an approximation to the leverage scores using a scalable method suitable for large matrices.

Usage

LeverageScore(object, ...)

## Default S3 method:
LeverageScore(
  object,
  nsketch = 5000L,
  ndims = NULL,
  method = CountSketch,
  eps = 0.5,
  seed = 123L,
  verbose = TRUE,
  ...
)

## S3 method for class 'StdAssay'
LeverageScore(
  object,
  nsketch = 5000L,
  ndims = NULL,
  method = CountSketch,
  vf.method = NULL,
  layer = "data",
  eps = 0.5,
  seed = 123L,
  verbose = TRUE,
  ...
)

## S3 method for class 'Assay'
LeverageScore(
  object,
  nsketch = 5000L,
  ndims = NULL,
  method = CountSketch,
  vf.method = NULL,
  layer = "data",
  eps = 0.5,
  seed = 123L,
  verbose = TRUE,
  ...
)

## S3 method for class 'Seurat'
LeverageScore(
  object,
  assay = NULL,
  nsketch = 5000L,
  ndims = NULL,
  var.name = "leverage.score",
  over.write = FALSE,
  method = CountSketch,
  vf.method = NULL,
  layer = "data",
  eps = 0.5,
  seed = 123L,
  verbose = TRUE,
  ...
)

Arguments

object	A matrix-like object
...	Arguments passed to other methods
nsketch	A positive integer. The number of sketches to be used in the approximation. Default is 5000.
ndims	A positive integer or NULL. The number of dimensions to use. If NULL, the number of dimensions will default to the number of columns in the object.
method	The sketching method to use, defaults to CountSketch.
eps	A numeric. The error tolerance for the approximation in Johnson–Lindenstrauss embeddings, defaults to 0.5.
seed	A positive integer. The seed for the random number generator, defaults to 123.
verbose	Print progress and diagnostic messages
vf.method	VariableFeatures method
layer	layer to use
assay	assay to use
var.name	name of slot to store leverage scores
over.write	whether to overwrite slot that currently stores leverage scores. Defaults to FALSE, in which case the 'var.name' is modified if it already exists in the object

References

Clarkson, K. L. & Woodruff, D. P. Low-rank approximation and regression in input sparsity time. JACM 63, 1–45 (2017). https://dl.acm.org/doi/10.1145/3019134;

satijalab/seurat documentation built on March 20, 2024, 8:41 p.m.