grn_average_rank: Rank edge weights for GRNs and calculate average across...
In almeidasilvaf/BioNERO: Biological Network Reconstruction Omnibus
View source: R/grn_inference.R
grn_average_rank R Documentation
Rank edge weights for GRNs and calculate average across different methods
Description
Rank edge weights for GRNs and calculate average across different methods
Usage
grn_average_rank(list_edges)
Arguments
list_edges
List containing edge lists as returned by
the function grn_combined.
Value
Edge list containing regulator, target and mean rank from
all algorithms.
Examples
data(filt.se)
tfs <- sample(rownames(filt.se), size=50, replace=FALSE)
grn_list <- grn_combined(filt.se, regulators=tfs, nTrees=2)
ranked_grn <- grn_average_rank(grn_list)
almeidasilvaf/BioNERO documentation built on Oct. 9, 2024, 1:49 a.m.
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View source: R/grn_inference.R
| grn_average_rank | R Documentation |
Rank edge weights for GRNs and calculate average across different methods
Description
Rank edge weights for GRNs and calculate average across different methods
Usage
grn_average_rank(list_edges)
Arguments
list_edges |
List containing edge lists as returned by
the function |
Value
Edge list containing regulator, target and mean rank from all algorithms.
Examples
data(filt.se)
tfs <- sample(rownames(filt.se), size=50, replace=FALSE)
grn_list <- grn_combined(filt.se, regulators=tfs, nTrees=2)
ranked_grn <- grn_average_rank(grn_list)
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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