Description Usage Arguments Value
View source: R/eigengene_scoring.R
scoreEigengenes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | scoreEigengenes(object, ...)
## Default S3 method:
scoreEigengenes(object, module_list, md = NULL, score_func = "rsvd", ...)
## S3 method for class 'DESeqDataSet'
scoreEigengenes(
object,
module_list,
return_self = TRUE,
score_func = "rsvd",
normalize_func = c("vst", "rlog"),
...
)
## S3 method for class 'DGEList'
scoreEigengenes(
object,
module_list,
return_self = TRUE,
score_func = "rsvd",
normalize_func = c("cpm", "rpkm"),
...
)
|
object |
Either a matrix of expression values, a DESeqDataSet object, or a Seurat object |
... |
Not used |
module_list |
A named lists of lists where each sublist are the genes that make up the module and each sublist is named. |
md |
Optional meta data to add to the scores (for plotting purposes). Default: NULL |
score_func |
Factorization method to use in scoring. Currently only 'rsvd', 'svd', and 'nmf' are allowed. Default: 'rsvd' |
return_self |
return a form of 'object' with the scores added to it. Default: TRUE |
assay |
Seurat assay object from which to pull data |
slot |
Assay slot to use |
DESeqDataSet with scores added to the colData
DGEList with module scores added to "samples" list component
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