test_that("semeeker", {
ssEnv <- init_env(tempFolder, parallel_strategy = "sequential")
nitem <- 1e4
nsamples <- 20
probe_features <- PROBES_Gene_Whole[!is.na(PROBES_Gene_Whole$START),c("CHR","START","PROBE")]
probe_features <- unique(probe_features)
probe_features$END <- probe_features$START
nitem <- min(nitem, nrow(probe_features))
probe_features <- probe_features[probe_features$PROBE %in% sample(x=probe_features[,"PROBE"] , size=nitem),]
methylation_data <- rnorm(nitem*nsamples,mean = 0.5, sd = 0.7)
methylation_data <- as.data.frame(matrix(methylation_data,nitem,nsamples))
beta_superior_thresholds <- data.frame(rnorm(nitem, mean = 1, sd=0.2))
beta_inferior_thresholds <- data.frame(rnorm(nitem, mean=0.2, sd=0.2))
row.names(beta_superior_thresholds) <- probe_features$PROBE
row.names(beta_inferior_thresholds) <- probe_features$PROBE
row.names(methylation_data) <- probe_features$PROBE
Sample_ID <- stri_rand_strings(nsamples, 15, pattern = "[A-Za-z]")
colnames(methylation_data) <- Sample_ID
Sample_Group <- rep("Control",nsamples)
sample_sheet <- data.frame(Sample_Group, Sample_ID)
beta_medians <- beta_superior_thresholds + beta_inferior_thresholds / 2
sliding_window_size <- 11
bonferroni_threshold <- 0.01
# browser()
sp <- analyze_population(methylation_data=methylation_data,
sliding_window_size = 11,
sliding_window_size = sliding_window_size,
beta_thresholds = beta_thresholds,
sample_sheet = mySampleSheet,
bonferroni_threshold = bonferroni_threshold,
probe_features = probe_features,
bonferroni_threshold = 0.01,
)
create_multiple_bed( sample_sheet)
resiltPopulation <- deltaq_get( sp)
# test deltaq creation
tempresult_folder <- file.path(tempFolder,"Data","Control","DELTAQ_BOTH")
fileToRead <- file_path_build(tempresult_folder, c("MULTIPLE", "DELTAQ" ,"BOTH" ), "fst")
localFileRes_both <- fst::read_fst(fileToRead)
testthat::expect_true(sum(is.na(localFileRes_both$VALUE))==0)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.