clustertree_construction: Construct clustering tree from proportion graph
In NCBI-Hackathons/robustSingleCell: Robust Subpopulation dEcision Trees
Description
Usage
Arguments
Value
Description
Construct clustering tree from proportion graph
Usage
1
clustertree_construction(clusters.aggregate)
Arguments
clusters.aggregate
A data matrix with cluster membership at different levels (column names should be K1, K2, ...)
Value
A list containing a proportion graph and a trimmed version keeping only the incident edge with highest weight for each node
NCBI-Hackathons/robustSingleCell documentation built on May 9, 2019, 3:27 a.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
Construct clustering tree from proportion graph
Usage
1 | clustertree_construction(clusters.aggregate)
|
Arguments
clusters.aggregate |
A data matrix with cluster membership at different levels (column names should be K1, K2, ...) |
Value
A list containing a proportion graph and a trimmed version keeping only the incident edge with highest weight for each node
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.