checkup_GeneTonic | R Documentation |
Checking the input objects for GeneTonic, whether these are all set for running the app
checkup_GeneTonic(dds, res_de, res_enrich, annotation_obj, verbose = FALSE)
dds |
A |
res_de |
A |
res_enrich |
A |
annotation_obj |
A |
verbose |
Logical, to control level of verbosity of the messages generated |
Some suggestions on the requirements for each parameter are returned in the error messages.
Invisible NULL
library("macrophage")
library("DESeq2")
library("org.Hs.eg.db")
library("AnnotationDbi")
# dds object
data("gse", package = "macrophage")
dds_macrophage <- DESeqDataSet(gse, design = ~ line + condition)
rownames(dds_macrophage) <- substr(rownames(dds_macrophage), 1, 15)
dds_macrophage <- estimateSizeFactors(dds_macrophage)
# annotation object
anno_df <- data.frame(
gene_id = rownames(dds_macrophage),
gene_name = mapIds(org.Hs.eg.db,
keys = rownames(dds_macrophage),
column = "SYMBOL",
keytype = "ENSEMBL"
),
stringsAsFactors = FALSE,
row.names = rownames(dds_macrophage)
)
# res object
data(res_de_macrophage, package = "GeneTonic")
res_de <- res_macrophage_IFNg_vs_naive
# res_enrich object
data(res_enrich_macrophage, package = "GeneTonic")
res_enrich <- shake_topGOtableResult(topgoDE_macrophage_IFNg_vs_naive)
res_enrich <- get_aggrscores(res_enrich, res_de, anno_df)
checkup_GeneTonic(
dds = dds_macrophage,
res_de = res_de,
res_enrich = res_enrich,
annotation_obj = anno_df
)
# if all is fine, it should return an invisible NULL and a simple message
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