NetAttr-class: Class "NetAttr"
In mAPKL: A Hybrid Feature Selection method for gene expression data
Description
S4 class for storing some network characteristics of the top ranked genes
Slots
The following slots are defined for NetAttr objects:
edgelist:The Node1 & Node2 & Weight edgelist matrix
degree:The Local, Global and their Weighted values of the
"degree" characteristic
closeness:The Weighted values of the Local and Global
"closeness" characteristic
betweenness:The Weighted values of the Local and Global
"betweenness" characteristic
transitivity:The Weighted values of the Local and Global
"transitivity" characteristic
Author(s)
Argiris Sakellariou
a.sakellariou@gonkhosp.gr
mAPKL documentation built on Nov. 8, 2020, 4:57 p.m.
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Description
S4 class for storing some network characteristics of the top ranked genes
Slots
The following slots are defined for NetAttr objects:
edgelist:The Node1 & Node2 & Weight edgelist matrix
degree:The Local, Global and their Weighted values of the "degree" characteristic
closeness:The Weighted values of the Local and Global "closeness" characteristic
betweenness:The Weighted values of the Local and Global "betweenness" characteristic
transitivity:The Weighted values of the Local and Global "transitivity" characteristic
Author(s)
Argiris Sakellariou a.sakellariou@gonkhosp.gr
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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