LRAcluster: integrated analysis of cancer omics data by low-rank...
In xlucpu/MOVICS: Multi-Omics integration and VIsualization in Cancer Subtyping
Description
Usage
Arguments
Value
Author(s)
References
Description
The LRAcluster function is the main interface of this package, it gets a list of matrix as input and outputs the coordinates of the samples in the reduced space and the explained potential.
Usage
1
LRAcluster(data, types, dimension = 2, names = as.character(1:length(data)))
Arguments
data
a list of data matrix,please keep the columns are the same order of samples
types
a list of data types, can be binary, gaussian, or poisson
dimension
the reduced dimension
names
data names
Value
A list contains the following component:
coordinate A matrix of the coordinates of all the samples in the reduced space
potential ratio of explained variance
Author(s)
Dingming Wu, Dongfang Wang
References
Wu D, Wang D, Zhang MQ, Gu J (2015). Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification. BMC Genomics, 16(1):1022.
xlucpu/MOVICS documentation built on July 24, 2021, 9:23 p.m.
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Description Usage Arguments Value Author(s) References
Description
The LRAcluster function is the main interface of this package, it gets a list of matrix as input and outputs the coordinates of the samples in the reduced space and the explained potential.
Usage
1 | LRAcluster(data, types, dimension = 2, names = as.character(1:length(data)))
|
Arguments
data |
a list of data matrix,please keep the columns are the same order of samples |
types |
a list of data types, can be binary, gaussian, or poisson |
dimension |
the reduced dimension |
names |
data names |
Value
A list contains the following component:
coordinate A matrix of the coordinates of all the samples in the reduced space
potential ratio of explained variance
Author(s)
Dingming Wu, Dongfang Wang
References
Wu D, Wang D, Zhang MQ, Gu J (2015). Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification. BMC Genomics, 16(1):1022.
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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