ranM2: Prepare a random matrix
In shibiaowan/SHARP: hyperfast and accurate single-cell RNA-Seq data clustering
Description
This function is to prepare a random matrix to be used in parallel computation, so that the same random matrix will be applied to different partitions/groups of datasets in the same application of random projection. The difference between ranM and ranM2 is that the former requires the input expression matrix, whereas the latter only requires the number of genes.
Usage
1
ranM2(m, p, seedn)
Arguments
m
number of genes for the input scRNA-seq matrix
p
the dimension to be reduced to
shibiaowan/SHARP documentation built on April 28, 2021, 1:56 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
This function is to prepare a random matrix to be used in parallel computation, so that the same random matrix will be applied to different partitions/groups of datasets in the same application of random projection. The difference between ranM and ranM2 is that the former requires the input expression matrix, whereas the latter only requires the number of genes.
Usage
1 | ranM2(m, p, seedn)
|
Arguments
m |
number of genes for the input scRNA-seq matrix |
p |
the dimension to be reduced to |
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.