ScoreJackStraw: Compute Jackstraw scores significance.

In ibseq/scs-analysis: Tools for Single Cell Genomics

Description

Significant PCs should show a p-value distribution that is strongly skewed to the left compared to the null distribution. The p-value for each PC is based on a proportion test comparing the number of features with a p-value below a particular threshold (score.thresh), compared with the proportion of features expected under a uniform distribution of p-values.

Usage

ScoreJackStraw(object, ...)

## S3 method for class 'JackStrawData'
ScoreJackStraw(object, dims = 1:5, score.thresh = 1e-05, ...)

## S3 method for class 'DimReduc'
ScoreJackStraw(object, dims = 1:5, score.thresh = 1e-05, ...)

## S3 method for class 'Seurat'
ScoreJackStraw(
  object,
  reduction = "pca",
  dims = 1:5,
  score.thresh = 1e-05,
  do.plot = FALSE,
  ...
)

Arguments

object	An object
...	Arguments passed to other methods
dims	Which dimensions to examine
score.thresh	Threshold to use for the proportion test of PC significance (see Details)
reduction	Reduction associated with JackStraw to score
do.plot	Show plot. To return ggplot object, use JackStrawPlot after running ScoreJackStraw.

Value

Returns a Seurat object

Author(s)

Omri Wurtzel

See Also

JackStrawPlot

JackStrawPlot

ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.