testClusters: calculate the relative abundance of each group within a...
In saralinker/GONetwork: Similarity matrix optimized for sparse hierarchical networks
Description
Usage
Arguments
Value
Description
calculate the relative abundance of each group within a cluster compared to chance
Usage
1
testClusters(tab, group)
Arguments
group,
a data.frame dictating which genes are in which test group. The first column is the gene name and the second column is the group name. Currently this test only supports two groups. For example, genes that are up-regulated versus genes that are down-regulated
k.out,
output from cyto
Value
results of a fisher.test() for each cluster
saralinker/GONetwork documentation built on May 29, 2019, 1:50 p.m.
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Description Usage Arguments Value
Description
calculate the relative abundance of each group within a cluster compared to chance
Usage
1 | testClusters(tab, group)
|
Arguments
group, |
a data.frame dictating which genes are in which test group. The first column is the gene name and the second column is the group name. Currently this test only supports two groups. For example, genes that are up-regulated versus genes that are down-regulated |
k.out, |
output from cyto |
Value
results of a fisher.test() for each cluster
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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