DNBcompute_custom.default | R Documentation |
Compute the Dynamic Network Biomarkers(DNB) model with customized Modules
## Default S3 method:
DNBcompute_custom(
data,
module_list,
meta,
meta_levels = NULL,
force_allgene = TRUE,
size_effect = TRUE,
quiet = FALSE,
...
)
data |
the gene expression matrix, which can be a single-cell RNA-seq GEM with at least three group/clusters or a matrix merging bulk GEMs from at least three different sample |
module_list |
a customized list of module gene |
meta |
a data.frame with rownames as cell-id as well as one column of group infomation |
meta_levels |
the order of meta group, default ordered by decreasing if NULL |
force_allgene |
not use |
size_effect |
whether consider the effect of sample size when compute CI of DNB, default TRUE |
quiet |
do not message |
... |
not use |
S3:DNB_output
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