Description Usage Arguments Value Author(s) See Also Examples
Calls the constructors and creates a SummarizedExperiment
object.
For more information on the resulted object and the class see
SummarizedExperiment-class
.
1 2 | InterestResult(resultFiles=c(), counts, scaledRetention,
scaleLength, scaleFragment, sampleAnnotation, rowData)
|
resultFiles |
Vector of link to the result files of |
counts |
Numeric Matrix that includes the read counts. |
scaledRetention |
Matrix that includes the scaled retention values. |
scaleLength |
Logical value, indicating whether the intron/exon retention levels are scaled to the length of the introns/exons. |
scaleFragment |
Logical value, indicating whether the intron/exon retention levels are scaled to the fragments mapped to the genes. |
sampleAnnotation |
Data frame with the row-size equal to the size of |
rowData |
Data frame with Intron/Exon annotations and read count and scaled retention values for each sample. |
Returns an object of class SummarizedExperiment
.
Ali Oghabian
SummarizedExperiment-class
attributes
addAnnotation
counts-method
plot-method
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | geneId<- paste("gene", c(rep(1,5), rep(2,5), rep(3,5), rep(4,5)),
sep="_")
readCnt1<- sample(1:100, 20)
readCnt2<- sample(1:100, 20)
readCnt3<- sample(1:100, 20)
readCnt4<- sample(1:100, 20)
fpkm1<- readCnt1/(tapply(readCnt1, geneId, sum))[geneId]
fpkm2<- readCnt2/(tapply(readCnt2, geneId, sum))[geneId]
fpkm3<- readCnt3/(tapply(readCnt3, geneId, sum))[geneId]
fpkm4<- readCnt4/(tapply(readCnt4, geneId, sum))[geneId]
# Creating object using test data
interestDat<- data.frame(
int_ex=rep(c(rep(c("exon","intron"),2),"exon"),4),
int_ex_num= rep(c(1,1,2,2,3),4),
gene_id= geneId,
sam1_readCnt=readCnt1,
sam2_readCnt=readCnt2,
sam3_readCnt=readCnt3,
sam4_readCnt=readCnt4,
sam1_fpkm=fpkm1,
sam2_fpkm=fpkm2,
sam3_fpkm=fpkm3,
sam4_fpkm=fpkm4
)
readFreqColIndex<- grep("_readCnt$",colnames(interestDat))
scaledRetentionColIndex<- grep("_fpkm$",colnames(interestDat))
scalRetTmp<- as.matrix(interestDat[ ,scaledRetentionColIndex])
colnames(scalRetTmp)<-gsub("_fpkm$","", colnames(scalRetTmp))
frqTmp<- as.matrix(interestDat[ ,readFreqColIndex])
colnames(frqTmp)<-gsub("_readCnt$","", colnames(frqTmp))
InterestResultObj<- InterestResult(
resultFiles=paste("file",1:4, sep="_"),
rowData= interestDat[ , -c(readFreqColIndex,
scaledRetentionColIndex)],
counts= frqTmp,
scaledRetention= scalRetTmp,
scaleLength=TRUE,
scaleFragment=FALSE,
sampleAnnotation=data.frame(
sampleName=paste("sam",1:4, sep=""),
gender=c("M","M","F","F"), row.names=paste("sam", 1:4, sep="")
)
)
# View object
InterestResultObj
|
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