README.md
In jhsiao999/ashbun: Methods and evaluation tools for single cell RNA-seq count data
Benchmarking methods for differential expression analysis in single cell data
This project focus on realistic evaluations of single cell data manufactured from experimental datasets from different technologies, organisms and cell types.
Installation
To Install, run in R
devtools::install_github("jhsiao999/ashbun")
#> Warning in strptime(x, fmt, tz = "GMT"): unknown timezone 'default/America/
#> Chicago'
#> Skipping install of 'ashbun' from a github remote, the SHA1 (780101a9) has not changed since last install.
#> Use `force = TRUE` to force installation
jhsiao999/ashbun documentation built on May 8, 2019, 11:17 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.
Benchmarking methods for differential expression analysis in single cell data
This project focus on realistic evaluations of single cell data manufactured from experimental datasets from different technologies, organisms and cell types.
Installation
To Install, run in R
devtools::install_github("jhsiao999/ashbun")
#> Warning in strptime(x, fmt, tz = "GMT"): unknown timezone 'default/America/
#> Chicago'
#> Skipping install of 'ashbun' from a github remote, the SHA1 (780101a9) has not changed since last install.
#> Use `force = TRUE` to force installation
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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