context('high level functions')
httr::set_config(httr::config(ssl_verifypeer = 0L))
testthat::test_that('get gene expression',{
out = expressionSubset(3888,genes = c('1859','6506'))
testthat::expect_is(out,'data.frame')
})
testthat::test_that('compileMetadata',{
# double accession dataset removed find another test
# meta167 = compileMetadata(167)
# testthat::expect_is(compileMetadata(167),'data.frame')
# testthat::expect_true(all(grepl('\\|',meta167$accession)))
#
# meta167NoCollapse = compileMetadata(167,collapseBioMaterials = FALSE)
#
# testthat::expect_gt(nrow(meta167NoCollapse), nrow(meta167))
# testthat::expect_equal(ncol(meta167NoCollapse), ncol(meta167))
meta6049 = compileMetadata(6049)
meta6049NoCollapse = compileMetadata(6049,collapseBioMaterials = FALSE)
testthat::expect_gt(nrow(meta6049NoCollapse), nrow(meta6049))
testthat::expect_equal(ncol(meta6049NoCollapse), ncol(meta6049))
# test for datasets with missing fields
metaRoss = compileMetadata('ross-adipogenesis')
testthat::expect_equal(ncol(meta6049), ncol(metaRoss))
# meta924 = compileMetadata(924)
# testthat::expect_true(meta924$experimentAnnotClassOntoID %>% stringr::str_split('\\|') %>% {.[[1]][1] == "NA"})
mouseStudies = taxonInfo('mouse',request = 'datasets',limit = 0)
studyIDs = mouseStudies %>% purrr::map_int('id')
mouseMetadata = studyIDs[1:10] %>% lapply(function(x){
# print(x)
compileMetadata(x)
})
meta3 = compileMetadata(3)
testthat::expect_true(any(grepl('GENE_',meta3$sampleAnnotationOntoID)))
# test empty metadata
meta210 = compileMetadata(210)
testthat::expect_is(meta210,'data.frame')
# mouseMetadata = studyIDs[studyIDs > 5384] %>% lapply(function(x){
# print(x)
# compileMetadata(x)
# })
})
testthat::test_that('Matching colnames in expression data and metadata',{
data = datasetInfo('GSE1294',request= 'data', IdColnames = TRUE)
metadata= compileMetadata('GSE1294')
testthat::expect_true(all(metadata$id %in% colnames(data)))
})
testthat::test_that('readExpression, splitExpression',{
temp = tempfile()
data = datasetInfo('GSE1294',request= 'data', IdColnames = TRUE,return = TRUE,file = temp)
readData = readExpression(temp)
testthat::expect_identical(readData %>% dim, data %>% dim)
readData2 = readExpression(temp,IdColnames = TRUE)
testthat::expect_identical(readData2, data)
splitExp = splitExpression(readData)
testthat::expect_is(splitExp$gene$GeneSymbol,'character')
testthat::expect_is(splitExp$exp[,1,drop=TRUE],'numeric')
})
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