Description Usage Arguments Value Examples
View source: R/function_GSEA.R
Gene Set Enrichment Analysis
1 2 3 4 5 6 7 8 9 10 11 12 |
fdr_cutoff |
Numerical value indicating the maximum value for FDR
values. The default is |
width |
Graphical parameters. See par for more
details. As default |
height |
Graphical parameters. See par for more
details. As default |
res |
Graphical parameters. See par for more
details. As default |
unit |
Graphical parameters. See par for more
details. As default |
image_format |
A character string indicating which image_format will be used. It could be "png" or "svg". The only unit available in "svg" is inches ('in'). The default is "png". |
tool |
A character string indicating which differential expression analysis tool was last used. |
id |
A character string indicating which id should be used: "hugo",
"gene_symbol", "ensembl" , "refGene" or "geneid". The default is
|
pair_name |
A character string indicating which condition name should be
used. When there are only two groups the default is |
env |
A character string containing the environment name that should be used. If none has been set yet, the function will create one in global environment following the standard criteria:
|
Enriched terms.
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 | # data already downloaded using the 'download_gdc' function
concatenate_expression("gene",
name = "HIF3A",
data_base = "legacy",
tumor = "CHOL",
work_dir = "~/Desktop"
)
# separating gene HIF3A expression data patients in two groups
groups_identification_mclust("gene", 2,
name = "HIF3A",
modelName = "E",
env = CHOL_LEGACY_gene_tumor_data,
tumor = "CHOL"
)
# load not normalized data
concatenate_expression("gene",
normalization = FALSE,
name = "HIF3A",
data_base = "legacy",
tumor = "CHOL",
env = CHOL_LEGACY_gene_tumor_data,
work_dir = "~/Desktop"
)
# start DE analysis
# considering concatenate_expression and groups_identification already runned
dea_edger(
name = "HIF3A",
group_gen = "mclust",
env = CHOL_LEGACY_gene_tumor_data
)
gonto(
condition = "Upregulated",
tool = "edgeR", env = CHOL_LEGACY_gene_tumor_data
)
gsea(tool = "edgeR", env = CHOL_LEGACY_gene_tumor_data)
|
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