dot-reduce_mat_de: Reduce large matrix for DE analysis
In debsin/dropClust: Single Cell Transcriptome Analysis
Description
Usage
Arguments
Value
Description
Construct submatrix by sampling from each cluster
Usage
1
.reduce_mat_de(norm.mat, clust.list, sample_length = 100)
Arguments
norm.mat
numeric (or character) vector having length same as the number of rows in the normalized matrix.
clust.list
list object as returned by cluster.cells module.
sample_length
integer to specify a maximum length of samples from each cluster.
Value
integer vector of row identifiers
debsin/dropClust documentation built on Nov. 4, 2019, 10:22 a.m.
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Description Usage Arguments Value
Description
Construct submatrix by sampling from each cluster
Usage
1 | .reduce_mat_de(norm.mat, clust.list, sample_length = 100)
|
Arguments
norm.mat |
numeric (or character) vector having length same as the number of rows in the normalized matrix. |
clust.list |
list object as returned by |
sample_length |
integer to specify a maximum length of samples from each cluster. |
Value
integer vector of row identifiers
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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