Description Usage Arguments Value Examples
View source: R/function_heatmap_new.R
Draw a heatmap
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | draw_heatmap(
tool,
fc_cutoff = 2,
name,
method = "euclidean",
pair_name = "G2_over_G1",
raw_values = FALSE,
width = 6,
height = 6,
res = 300,
unit = "in",
image_format = "svg",
env,
scale_method = "row",
outer_margins = c(0, 0, 0, 0),
cex_col = 0,
cex_row = 0,
degree = 45,
lab_row = NULL,
lab_col = NULL
)
|
fc_cutoff |
Numerical value indicating the maximum value for Fold
Change '(FC). The default is |
name |
A character string indicating the desired values to be used in next analysis. For instance, "HIF3A" in the legacy gene expression matrix, "mir-1307" in the miRNA quantification matrix, or "HER2" in the protein quantification matrix. |
method |
The agglomeration method to be used: |
pair_name |
A character string indicating the pair name to be used. When
there are only two groups the default is |
raw_values |
A logical value. If |
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". |
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:
|
scale_method |
A character string indicating which method of scale
should
be used: |
outer_margins |
A numerical vector of the form c(bottom, left, top,
right) giving the outer margins measured in lines of text. The default is
no outer margins, i.e |
cex_col, cex_row |
A numerical value giving the amount by which
|
degree |
The |
lab_row, lab_col |
A logical value. If |
a heat map image.
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 | library(DOAGDC)
# 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
)
draw_heatmap("edgeR", name = "HIF3A", env = CHOL_LEGACY_gene_tumor_data)
|
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