The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
An unsupervised fully-automated pipeline for transcriptome analysis or a supervised option to identify characteristic genes from predefined subclasses. We rely on the 'pamr' <http://www.bioconductor.org/packages//2.7/bioc/html/pamr.html> clustering algorithm to cluster the Data and then draw a heatmap of the clusters with the most significant genes and the least significant genes according to the 'pamr' algorithm. This way we get easy to grasp heatmaps that show us for each cluster which are the clusters most defining genes.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | cluster , pamr , siggenes , annotate , fgsea , org.Hs.eg.db , RColorBrewer , ConsensusClusterPlus , Rtsne , clusterProfiler , msigdbr |
| Published: | 2019-02-27 |
| Author: | Karam Daka [cre, aut], Dieter Henrik Heiland [aut] |
| Maintainer: | Karam Daka <k.dacca at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | AutoPipe results |
| Reference manual: | AutoPipe.pdf |
| Package source: | AutoPipe_0.1.6.tar.gz |
| Windows binaries: | r-devel: AutoPipe_0.1.6.zip, r-release: AutoPipe_0.1.6.zip, r-oldrel: AutoPipe_0.1.6.zip |
| macOS binaries: | r-release (arm64): AutoPipe_0.1.6.tgz, r-oldrel (arm64): AutoPipe_0.1.6.tgz, r-release (x86_64): AutoPipe_0.1.6.tgz, r-oldrel (x86_64): AutoPipe_0.1.6.tgz |
Please use the canonical form https://CRAN.R-project.org/package=AutoPipe to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.