Description Usage Arguments Value Examples
View source: R/preprocessData.R
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.
| 1 | create_consensus_vector(betas, group_names)
 | 
| betas | matrix (rows are cell names, columns are probe names) | 
| group_names | list of cell names in betas | 
consensus vector for each cell in group names
| 1 2 3 | consensus_vector <- create_consensus_vector(betas, c('NK', "Monocytes", 
...))
... some visualization 
 | 
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