create_consensus_vector: Create consensus vector of probes for each group

Description Usage Arguments Value Examples

View source: R/preprocessData.R

Description

This function creates consensus vector for each group using majority ruling: across all probes, whichever category (methylated/unmethylated) is represented in more than 2/3's of the sample will saved. Otherwise, -1 for ambiguous is saved. A probabilistic model will supplement this in the future.

Usage

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create_consensus_vector(betas, group_names)

Arguments

betas

matrix (rows are cell names, columns are probe names)

group_names

list of cell group names in betas matrix

Value

consensus vector for each cell in group names

Examples

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consensus_vector <- create_consensus_vector(betas, c('NK', "Monocytes", 
...))

ethanmoyer/ICCE documentation built on Aug. 25, 2020, 5:18 p.m.