我必须首先说我刚刚开始使用 R 进行编程。我无法创建我的数据的表达式集。当我尝试将 Assaydata 和 phenodata 放在一起制作表达式集时，出现错误:
请看一下样本数据，我制作的phenodata表和R-program。我想应该修改 phenodata 以使其正常工作。
请让我知道如何解决此问题并更改 phenodata。
AssayData
0h-1 0h-2 6h-1 6h-2 12h-1 12h-2 24h-1 24h-2 48h-1 48h-2 72h-1 72h-2 96h-1 96h-2
171407 4.021342514 4.021342514 6.847201005 6.847201005 3.189312274 3.189312274 3.322687671 3.322687671 4.929574559 4.929574559 4.040127938 4.040127938 3.181587044 3.181587044
171415 267.8091012 267.8091012 358.8511895 358.8511895 266.4562608 266.4562608 210.259177 210.259177 243.1496956 243.1496956 248.2780935 248.2780935 235.7079055 235.7079055
171426 13.3620332 13.3620332 5.581083074 5.581083074 12.5236932 12.5236932 8.433621131 8.433621131 13.07390505 13.07390505 12.94673202 12.94673202 23.43214156 23.43214156
171453 37.65310777 37.65310777 27.88942772 27.88942772 54.7409581 54.7409581 78.86045287 78.86045287 63.61655487 63.61655487 67.31327606 67.31327606 62.35426899 62.35426899
PhenoData
condition time rep
0h-1 Control 0 1
0h-2 Control 0 2
6h-1 treatment 6 1
6h-2 treatment 6 2
12h-1 treatment 12 1
12h-2 treatment 12 2
24h-1 treatment 24 1
24h-2 treatment 24 2
48h-1 treatment 48 1
48h-2 treatment 48 2
72h-1 treatment 72 1
72h-2 treatment 72 2
96h-1 treatment 96 1
96h-2 treatment 96 2
我的代码:
library(""Biobase"")
library(""betr"")
exprs <- as.matrix(read.table(""Timecourse-Assaydata.txt"", header=TRUE, sep=""\t"", row.names=1, as.is=TRUE))
pData <- read.table(""Timecourse-Phenodata.txt"", row.names=1, header=TRUE, sep=""\t"")
metadata <- data.frame(labelDescription = c(""Hour of treatment"", ""Treatment time"", ""number of replicates""), row.names = c(""condition"", ""time"", ""rep""))
phenoData <- new(""AnnotatedDataFrame"", data = pData, varMetadata = metadata)
exprspop <- new(""ExpressionSet"", exprs = exprs, phenoData = phenoData)
最佳答案
此问题的正确位置在 Bioconductor 支持站点上。最好提供一个可重现的例子来捕捉问题的本质；创建可重现的示例通常有助于确定问题的原因。
library(Biobase)
exprs <- matrix(0, nrow=5, ncol=3,
dimnames=list(letters[1:5], LETTERS[1:3]))
pData <- data.frame(id=c("foo", "bar", "baz"),
row.names=c("x", "y", "z"))
phenoData <- AnnotatedDataFrame(data=pData)
导致
> ExpressionSet(exprs, phenoData=phenoData)
Error in validObject(.Object) :
invalid class "ExpressionSet" object: sampleNames differ between assayData and
phenoData
问题是
colname的exprs(即实验中样本的名称)与row.names的pData(即样本的描述)不同> row.names(pData)
[1] "x" "y" "z"
> colnames(exprs)
[1] "A" "B" "C"
解决方案是使它们相同
> colnames(exprs) <- row.names(pData)
> eset <- ExpressionSet(exprs, phenoData=phenoData)
> eset
ExpressionSet (storageMode: lockedEnvironment)
assayData: 5 features, 3 samples
element names: exprs
protocolData: none
phenoData
sampleNames: x y z
varLabels: id
varMetadata: labelDescription
featureData: none
experimentData: use 'experimentData(object)'
Annotation:
可以使用
assayDataReplace() 将其他元素添加到现有的 ExpressionSet 中，例如，> assayDataElement(eset, "foo") <- sqrt(exprs)
> eset
ExpressionSet (storageMode: lockedEnvironment)
assayData: 5 features, 3 samples
element names: exprs, foo
protocolData: none
phenoData
sampleNames: x y z
varLabels: id
varMetadata: labelDescription
featureData: none
experimentData: use 'experimentData(object)'
Annotation:
或者从一开始
> env = new.env()
> env$exprs = exprs
> env$sqrt = sqrt(exprs)
> lockEnvironment(env)
> ExpressionSet(env, pData=pData)
ExpressionSet (storageMode: environment)
assayData: 5 features, 3 samples
element names: exprs, sqrt
protocolData: none
phenoData: none
featureData: none
experimentData: use 'experimentData(object)'
Annotation:
关于r - 表达式集 - phenodata，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/7363991/