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Function structure discussed here: #2
The second step is to extract the data from SE. We can develop an internal function that does that for all our methods. We could use this to get idea: https://github.com/microbiome/mia/blob/48e319786b05e541bf87bdb2bff151f9d75dbef9/R/runCCA.R#L448
The internal function could be in this format:
.extract_data <- function(x, formula, features){
return(long_formatted_table)
}
where x is SummarizedExperiment object. The data is extracted based on formula. features is applicable when LHS of formula specifies assay; it is used for selecting specific rows.
You can add this to utils.R.
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