AutoPipe_tSNE

perplexity

integer; Number of iterations (default: 1000)

max_iter

the data frame with the group clustering that the function Groups_Sup or top_supervised (2. place on the list) returns with
the data about each sample and its coressponding cluster.

groups_men

This function is used to upload a table into R for further use in the AutoPipe

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.

AutoPipe_tSNE: Implemented t-distributed stochastic neighbor embedding

Description

Usage

Arguments