A graphical user interface that facilitates the dimensional reduction method based on the tdistributed stochastic neighbor embedding (tSNE) algorithm, for categorical analysis of mass cytometry data. With OneSENSE, measured parameters are grouped into predefined categories, and cells are projected onto a space composed of one dimension for each category. Each dimension is informative and can be annotated through the use of heatplots aligned in parallel to each axis, allowing for simultaneous visualization of two catergories across a twodimensional plot. The cellular occupancy of the resulting plots alllows for direct assessment of the relationships between the categories.
Package details 


Author  Cheng Yang, Evan Newell, Yong Kee Tan 
Bioconductor views  DimensionReduction FlowCytometry GUI Software 
Maintainer  Yong Kee Tan <[email protected]> 
License  GPL (>=3) 
Version  0.99.5 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.