Description Usage Arguments Details Value Author(s) References See Also Examples
Ranking functional groups based on a set of genes. For more information, please see enrichGO.
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 | atacGOAnalysis(
atacProc,
gene = NULL,
OrgDb = NULL,
keytype = "ENTREZID",
ont = "MF",
pvalueCutoff = 0.05,
pAdjustMethod = "BH",
universe = NULL,
qvalueCutoff = 0.2,
readable = FALSE,
pool = FALSE,
goOutput = NULL,
...
)
## S4 method for signature 'ATACProc'
atacGOAnalysis(
atacProc,
gene = NULL,
OrgDb = NULL,
keytype = "ENTREZID",
ont = "MF",
pvalueCutoff = 0.05,
pAdjustMethod = "BH",
universe = NULL,
qvalueCutoff = 0.2,
readable = FALSE,
pool = FALSE,
goOutput = NULL,
...
)
goanalysis(
gene,
OrgDb = NULL,
keytype = "ENTREZID",
ont = "MF",
pvalueCutoff = 0.05,
pAdjustMethod = "BH",
universe = NULL,
qvalueCutoff = 0.2,
readable = FALSE,
pool = FALSE,
goOutput = NULL,
...
)
|
atacProc |
|
gene |
A vector of entrez gene id. |
OrgDb |
Genome wide annotation databese. |
keytype |
Keytype of input gene. |
ont |
One of "MF", "BP", and "CC" subontologies. "MF" for molecular function, "BP" for biological process, "CC" for cellular component. |
pvalueCutoff |
pvalueCutoff. |
pAdjustMethod |
One of "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none". |
universe |
Background genes. |
qvalueCutoff |
qvalue cutoff. |
readable |
whether mapping gene ID to gene Name. |
pool |
If ont=’ALL’, whether pool 3 GO sub-ontologies. |
goOutput |
|
... |
Additional arguments, currently unused. |
This function using enrichGO to do GO
analysis but fixed some parameters. If atacProc is not NULL, it will read
the gene ID from the output of atacPeakAnno
.
An invisible ATACProc-class
object scalar.
Wei Zhang
Guangchuang Yu., Li-Gen Wang, Yanyan Han, Qing-Yu He. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287
atacPeakAnno
enrichGO function enrichGO in package
"clusterProfiler"
1 2 3 4 5 6 7 | ## Not run:
library(org.Hs.eg.db)
# generate simulated geneID
geneId <- as.character(sample(seq(10000), 100))
goanalysis(gene = geneId, OrgDb = 'org.Hs.eg.db')
## End(Not run)
|
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