SFlabels: Calculate SigFuge labels

Description Usage Arguments Value Author(s) Examples

View source: R/SFlabels.R

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

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  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 <pkimes@live.unc.edu>

Examples

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

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