Question

我正在使用R软件包“ anrichment”进行细胞富集分析。但是，当我使用richmentAnalysis（）函数时发生错误。

下面是错误消息。

Error in base::mapply(..., SIMPLIFY = SIMPLIFY) : 
  zero-length inputs cannot be mixed with those of non-zero length

请告诉我如何解决此错误？追溯消息中的“长度”可能是导致此错误的原因，但我不知道该“长度”的来源。

9.
.mymapply(rep, 1:n, lengths)

回溯消息是这个。

10.
base::mapply(..., SIMPLIFY = SIMPLIFY) 
9.
.mymapply(rep, 1:n, lengths) 
8.
do.call("c", .mymapply(rep, 1:n, lengths)) 
7.
.indexedFlattenedList(lapply(groupList, getElement, "alternateNames")) 
6.
impliedGroups(collection$groups, queryGroups = NULL, includeSelf = TRUE, 
    get = "parents") 
5.
.matchDataSets(collection, tags = tags, matchComponents = matchComponents, 
    searchType = searchType, invert = invertSearch, exactMatch = exactMatch, 
    fixed = fixed, firstDate = firstDate, lastDate = lastDate, 
    dateFormat = dateFormat, invert.date = invertDateSearch) 
4.
.geneLists(collection, evidence = evidence, tags = tags, matchComponents = matchComponents, 
    searchType = searchType, invertSearch = invertSearch, exactMatch = exactMatch, 
    fixed = fixed, firstDate = firstDate, lastDate = lastDate, 
    dateFormat = dateFormat, invertDateSearch = invertDateSearch) 
3.
allGeneSetGenes(refCollection, evidence = useEvidence) 
2.
enrichmentAnalysis(classLabels = Group, identifiers = entrez, 
    refCollection = collection, useBackground = "given", threshold = 1, 
    thresholdType = "Bonferroni", getOverlapEntrez = FALSE, getOverlapSymbols = TRUE, 
    maxReportedOverlapGenes = 10000, removeDuplicatesInDifferentClasses = FALSE,  ... 
1.

我的代码在下面。

library(anRichment)
analysisresult = enrichmentAnalysis(
    classLabels = Group, 
    identifiers = entrez,
    refCollection = collection,
    useBackground = "given",threshold = 1,
    thresholdType = "Bonferroni",
    getOverlapEntrez = FALSE,
    getOverlapSymbols= TRUE,
    maxReportedOverlapGenes = 10000,
    removeDuplicatesInDifferentClasses=FALSE,
    entrySeparator = ",",
    ignoreLabels = "grey",
    combineEnrichmentTables = FALSE)

富集软件包的richmentAnalysis（）中的错误

0 个答案: