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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