drimpute: Imputation of scATAC-seq profiles
In reggenlab/UniPath: UniPath provides robust statistical methods to represent every single cell using pathway and gene-set enrichment scores. It can be used with both single cell RNA-seq and single cell ATAC-seq profile with scalability for atlas scale data-sets. Unipath comes with several features like psuedo-temporal ordering using pathway scores and unconventional way of enumerating differences between two cell populations.
Description
Usage
Arguments
Value
Examples
Description
Imputation of scATAC-seq profiles
Usage
1
drimpute(countFile)
Arguments
countFile
scATAC-seq count matrix
Value
imputed count matrix
Examples
1
drimpute()
reggenlab/UniPath documentation built on Nov. 26, 2020, 8:09 a.m.
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Description Usage Arguments Value Examples
Description
Imputation of scATAC-seq profiles
Usage
1 | drimpute(countFile)
|
Arguments
countFile |
scATAC-seq count matrix |
Value
imputed count matrix
Examples
1 | drimpute()
|
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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