View source: R/outlier_analysis_functions.R
deva_results | R Documentation |
Utility function that allows easier grabbing of data
deva_results(deva_out, ID = NULL, type = NULL)
deva_out |
output from the deva function |
ID |
The keyword to search through analyses and grab desired output |
type |
<"table" | "heatmap" | "fraction_table" | "median" | "boundary"> to return the desirted analysis type |
desired subset of analysis from deva
suppressPackageStartupMessages(library(SummarizedExperiment)) data("sample_phosphodata") data("sample_annotationdata") se = SummarizedExperiment( assays = list(counts = as.matrix(sample_phosphodata[1:1000,])), colData = DataFrame(sample_annotationdata)) deva_out = deva(se = se, analyze_negative_outliers = FALSE, aggregate_features = TRUE, feature_delineator = "-", fraction_samples_cutoff = 0.3, fdrcutoffvalue = 0.1) deva_results(deva_out, ID = "outlieranalysis", type = "table")
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