Description Usage Arguments Details Examples
Get signature rows
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## S4 method for signature 'DownSamplingConsensusPartition'
get_signatures(object, k,
p_cutoff = 0.05,
fdr_cutoff = cola_opt$fdr_cutoff,
group_diff = cola_opt$group_diff,
scale_rows = object@scale_rows,
row_km = NULL,
diff_method = c("Ftest", "ttest", "samr", "pamr", "one_vs_others"),
anno = get_anno(object),
anno_col = get_anno_col(object),
internal = FALSE,
show_row_dend = FALSE,
show_column_names = FALSE, use_raster = TRUE,
plot = TRUE, verbose = TRUE, seed = 888,
left_annotation = NULL, right_annotation = NULL,
col = if(scale_rows) c("green", "white", "red") else c("blue", "white", "red"),
simplify = FALSE,
...)
|
object |
A |
k |
Number of subgroups. |
p_cutoff |
Cutoff for p-values of class label prediction. Samples with values higher than it are not used for finding signature rows. |
fdr_cutoff |
Cutoff for FDR of the difference test between subgroups. |
group_diff |
Cutoff for the maximal difference between group means. |
scale_rows |
Whether apply row scaling when making the heatmap. |
row_km |
Number of groups for performing k-means clustering on rows. By default it is automatically selected. |
diff_method |
Methods to get rows which are significantly different between subgroups, see 'Details' section. |
anno |
A data frame of annotations for the original matrix columns. By default it uses the annotations specified in |
anno_col |
A list of colors (color is defined as a named vector) for the annotations. If |
internal |
Used internally. |
show_row_dend |
Whether show row dendrogram. |
show_column_names |
Whether show column names in the heatmap. |
use_raster |
Internally used. |
plot |
Whether to make the plot. |
verbose |
Whether to print messages. |
seed |
Random seed. |
left_annotation |
Annotation put on the left of the heatmap. It should be a |
right_annotation |
Annotation put on the right of the heatmap. Same format as |
col |
Colors. |
simplify |
Only use internally. |
... |
Other arguments. |
This function is very similar as get_signatures,ConsensusPartition-method
.
1 2 3 | data(golub_cola_ds)
get_signatures(golub_cola_ds, k = 2)
get_signatures(golub_cola_ds, k = 3)
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