SFlabels: Calculate SigFuge labels

In SigFuge: SigFuge

Description

Function for producing vector of SigFuge labels using 2-means clustering on non-low expression normalized data and combining with low expression flags. Typically, SFlabels is used by passing output from SFnormalize.

Usage

  SFlabels(normData)

Arguments

normData

a list containing data.norm a d x (n-m) matrix of normalized read counts at d positions for (n-m) samples where n is the total number of samples and m is the number of low expression samples. flag a n x 1 logical vector of flagged samples with sum(flag) = m.

Value

SFlabels returns a n x 1 vector of class labels.

Author(s)

Patrick Kimes <[e-mail]>

Examples

data(geneDepth)
normalizedData <- SFnormalize(geneDepth)
labels <- SFlabels(normalizedData)

SigFuge documentation built on Nov. 8, 2020, 6:17 p.m.