ClusterSignificance-package: The ClusterSignificance package provides tools to assess if...
In ClusterSignificance: The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data
Description
Details
Author(s)
References
Description
The ClusterSignificance package provides tools to assess
if clusters have a separation different from random or permuted
data. ClusterSignificance investigates clusters of two or more
groups by first, projecting all points onto a one dimensional
line. Cluster separations are then scored and the probability
of the seen separation being due to chance is evaluated using a
permutation method.
Details
Package: ClusterSignificance
Type: Package
Version: 1.0
Date: 2016-02-28
License: GPL-3
Author(s)
Author: Jason T. Serviss, Jesper R. Gadin
References
Reference to published application note (work in progress)
ClusterSignificance documentation built on Nov. 8, 2020, 5:28 p.m.
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Description Details Author(s) References
Description
The ClusterSignificance package provides tools to assess if clusters have a separation different from random or permuted data. ClusterSignificance investigates clusters of two or more groups by first, projecting all points onto a one dimensional line. Cluster separations are then scored and the probability of the seen separation being due to chance is evaluated using a permutation method.
Details
| Package: | ClusterSignificance |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-02-28 |
| License: | GPL-3 |
Author(s)
Author: Jason T. Serviss, Jesper R. Gadin
References
Reference to published application note (work in progress)
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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