AutoPipe: Automated Transcriptome Classifier Pipeline: Comprehensive Transcriptome Analysis

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.

Getting started

Package details

AuthorKaram Daka [cre, aut], Dieter Henrik Heiland [aut]
MaintainerKaram Daka <k.dacca@gmail.com>
LicenseGPL-3
Version0.1.6
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("AutoPipe")

Try the AutoPipe package in your browser

Any scripts or data that you put into this service are public.

AutoPipe documentation built on May 1, 2019, 7:28 p.m.