counts-method | R Documentation |
Returns the (row) number of reads that are mapped to introns/exons in various samples.
## S4 method for signature 'SummarizedExperiment'
counts(object)
object |
Object of type |
Returns a numeric matrix.
Ali Oghabian
Class:
SummarizedExperiment-class
Method:
plot-method
.
#Show contents of a InterestResults object included in IntEREst
head(counts(mdsChr22Obj))
#Make a test InterestResults object
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"),
health=c("healthy","unhealthy","healthy","unhealthy")
, row.names=paste("sam", 1:4, sep="")
)
)
#Show
head(counts(InterestResultObj))
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