extract_signatures: Signature extraction
In greenelab/ADAGEpath: ADAGE-based Signature Analysis
View source: R/process_signature.R
extract_signatures R Documentation
Signature extraction
Description
Extracts all gene signatures from an ADAGE model.
Usage
extract_signatures(model, HW_cutoff = 2.5, use_symbol = FALSE)
Arguments
model
the ADAGE model to be used for extracting signatures
HW_cutoff
number of standard deviations from mean in a node's weight
distribution to be considered as high-weight (default to 2.5). Only
high-weight genes are included in signatures.
use_symbol
logical, whether the returned signatures use gene symbol
as gene identifiers (default: FALSE).
Value
a named list with each element being a gene signature
greenelab/ADAGEpath documentation built on May 25, 2022, 7:11 a.m.
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View source: R/process_signature.R
| extract_signatures | R Documentation |
Signature extraction
Description
Extracts all gene signatures from an ADAGE model.
Usage
extract_signatures(model, HW_cutoff = 2.5, use_symbol = FALSE)
Arguments
model |
the ADAGE model to be used for extracting signatures |
HW_cutoff |
number of standard deviations from mean in a node's weight distribution to be considered as high-weight (default to 2.5). Only high-weight genes are included in signatures. |
use_symbol |
logical, whether the returned signatures use gene symbol as gene identifiers (default: FALSE). |
Value
a named list with each element being a gene signature
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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