Description Usage Arguments Value Examples
This function is generally used after the
estimateDE
function. It retrieves the summaries of
differential expression (DE) results from TCC-class object.
The retrieved information includes p-values, q-values,
coordinates of M-A plot (i.e., M and A values), and so on.
1 |
tcc |
TCC-class object |
sort |
logical. If |
... |
further arguments for calculating the coordinates of
M-A plot. See |
A data frame object containing following fields:
gene_id |
character vector indicating the id of the count unit, usually gene. |
a.value |
numeric vector of average expression level on log2 scale (i.e., A-value) for each gene across the compared two groups. It corresponds to the x coordinate in the M-A plot. |
m.value |
numeric vector of fold-change on \log_2 scale (i.e., M-value) for each gene between the two groups compared. It corresponds to the y coordinate in the M-A plot. |
p.value |
numeric vector of p-value. |
q.value |
numeric vector of q-value calculated
based on the p-value using the |
rank |
numeric vector of gene rank in order of the p-values. |
estimatedDEG |
numeric vector consisting of 0 or 1
depending on whether each gene is classified
as non-DEG or DEG. The threshold for classifying
DEGs or non-DEGs is preliminarily
given when performing |
1 2 3 4 5 6 7 8 9 10 | # Obtaining DE results by an exact test in edgeR coupled with
# the DEGES/edgeR normalization factors.
data(hypoData)
group <- c(1, 1, 1, 2, 2, 2)
tcc <- new("TCC", hypoData, group)
tcc <- calcNormFactors(tcc, norm.method = "tmm", test.method = "edger",
iteration = 1, FDR = 0.1, floorPDEG = 0.05)
tcc <- estimateDE(tcc, test.method = "edger", FDR = 0.1)
result <- getResult(tcc, sort = TRUE)
head(result)
|
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