RankRulesHypergraph: Generate representation of rule hypergraph from which to...
In rahuldhodapkar/crules: Association Rule Learning Toolkit for Single Cells
Description
Usage
Arguments
Value
Description
Generate representation of rule hypergraph from which to derive
interestingness measure for rules in the style of CONFIGV
(Santolucito et. al, OOPSLA 2017)
Learn functional regulons from selected association rules on gene set
Usage
1
2
3
RankRulesHypergraph(rules)
LearnFunctionalRegulons(rules)
Arguments
rules
a rules output object from arules apriori or eclat
Value
a vector of length equal to the number of rules specifying
a rank score by hypergraph degree as defined in
(Santolucito et. al, OOPSLA 2017)
a communities object containing
rahuldhodapkar/crules documentation built on Jan. 21, 2022, 2:06 p.m.
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.
Description Usage Arguments Value
Description
Generate representation of rule hypergraph from which to derive interestingness measure for rules in the style of CONFIGV (Santolucito et. al, OOPSLA 2017)
Learn functional regulons from selected association rules on gene set
Usage
1 2 3 | RankRulesHypergraph(rules)
LearnFunctionalRegulons(rules)
|
Arguments
rules |
a rules output object from arules apriori or eclat |
Value
a vector of length equal to the number of rules specifying a rank score by hypergraph degree as defined in (Santolucito et. al, OOPSLA 2017)
a communities object containing
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.