OrderByCorrelation: A MVDA Function
In angy89/MVDA_package: Multi-View Biological Data Analysis
Description
Usage
Arguments
Value
Description
This function allows you to rank feature relevance for each multi-view cluster by correlation.
It works by removing a feature at a time and calculating correlation between patients in the cluster.
The more the correlation decrease, the more the feature is relevant for the clusters.
It also order patients by correlation.
Usage
1
OrderByCorrelation(n_cluster, cluster.pv, DB, cluster.vector)
Arguments
DB
your matrix dataset
cluster.vector
a numeric vector of clustering results
Value
a list with two object prototipi_geni is the list of feature ordered by correlation and pazienti that is the list of patients ordered by correlations
angy89/MVDA_package documentation built on May 7, 2019, 8:58 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
This function allows you to rank feature relevance for each multi-view cluster by correlation. It works by removing a feature at a time and calculating correlation between patients in the cluster. The more the correlation decrease, the more the feature is relevant for the clusters. It also order patients by correlation.
Usage
1 | OrderByCorrelation(n_cluster, cluster.pv, DB, cluster.vector)
|
Arguments
DB |
your matrix dataset |
cluster.vector |
a numeric vector of clustering results |
Value
a list with two object prototipi_geni is the list of feature ordered by correlation and pazienti that is the list of patients ordered by correlations
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.