The counts slot holds the count data as a matrix of non-negative integer
count values, one row for each isomiR, and one
column for each sample. The normalized matrix
can be obtained by using the parameter norm=TRUE
.
counts.IsomirDataSeq(object, norm = FALSE) # S4 method for IsomirDataSeq counts(object, norm = FALSE) # S4 method for IsomirDataSeq,matrix counts(object) <- value
object | A |
---|---|
norm | Boolean, return log2-normalized counts. |
value | An integer matrix. |
base::matrix with raw or normalized count data.
data(mirData) head(counts(mirData))#> cc1 cc2 cc3 ct2 ct3 ct4 #> hsa-let-7a-2-3p 5 13 4 4 2 12 #> hsa-let-7a-3p 767 707 630 496 343 635 #> hsa-let-7a-5p 317730 244832 203888 222066 154246 175523 #> hsa-let-7b-3p 1037 1949 679 931 494 1149 #> hsa-let-7b-5p 69671 64702 42347 45071 28312 41214 #> hsa-let-7c-3p 36 16 25 30 28 26