enrich_kegg | R Documentation |
a funtion group deg data frame and make enrichment analysis in one step
enrich_kegg( deg_data, x, y, cut_FC = 1, cut_P = 0.05, organism = "hsa", keyType = "kegg", OrgDb = "org.Hs.eg.db", pvalueCutoff = 0.05, pAdjustMethod = "BH", minGSSize = 10, maxGSSize = 500, qvalueCutoff = 0.2, use_internal_data = FALSE, label = c("Down", "Stable", "Up"), label_ns = "Stable", mc.cores = 1L )
deg_data |
a DEG data frame contains logFC and p value |
x |
which column is log FC |
y |
which column is P value |
cut_FC |
a single number character or numeric vector in threshold value of log FC |
cut_P |
threshold value of P value, can set for every cut_FC number in numeric vector format |
organism |
supported organism listed in 'http://www.genome.jp/kegg/catalog/org_list.html' |
keyType |
one of "kegg", 'ncbi-geneid', 'ncib-proteinid' and 'uniprot' |
OrgDb |
OrgDb |
pvalueCutoff |
adjusted pvalue cutoff on enrichment tests to report |
pAdjustMethod |
one of "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none" |
minGSSize |
minimal size of genes annotated by Ontology term for testing. |
maxGSSize |
maximal size of genes annotated for testing |
qvalueCutoff |
qvalue cutoff on enrichment tests to report as significant. Tests must pass i) pvalueCutoff on unadjusted pvalues, ii) pvalueCutoff on adjusted pvalues and iii) qvalueCutoff on qvalues to be reported. |
use_internal_data |
logical, use KEGG.db or latest online KEGG data |
label |
symbol word for groups |
label_ns |
which group is the stable group |
mc.cores |
param for mclapply, choose cores to use in non-Windows machine |
enrichKEGG result
## Not run: enrich_kegg(deg_data = DEG_df, x = "log2FoldChange", y = "pvalue") ## End(Not run)
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