plot_ma_condition_de | R Documentation |
The logic for this is directly from its volcano plot sister, but I think that function is more complete.
plot_ma_condition_de(
input,
table_name,
expr_col = "logCPM",
fc_col = "logFC",
p_col = "qvalue",
color_high = "red",
color_low = "blue",
pval = 0.05,
alpha = 0.4,
logfc = 1,
label_numbers = TRUE,
size = 2,
shapes = TRUE,
invert = FALSE,
label = 10,
label_column = "hgncsymbol",
...
)
input |
Result from all_pairwise() and friends. |
table_name |
Name the table! |
expr_col |
Column name from the input containing expression data. |
fc_col |
Ibid but the fold change column. |
p_col |
Ibid but the p-value. |
color_high |
Color for the values above the identity line. |
color_low |
and the low side. |
pval |
Significance cutoff. |
alpha |
Degree of see-through-ness. |
logfc |
Fold-change cutoff. |
label_numbers |
Add a legend containing counts by significance. |
size |
Relative size of the dots. |
shapes |
Use fun shapes for categories? |
invert |
Invert the plot? |
label |
Add labels for this number of genes. |
label_column |
Use this column for the labels. |
... |
Arbitrary passthrough. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.