oneSENSE: One-Dimensional Soli-Expression by Nonlinear Stochastic Embedding (OneSENSE)

A graphical user interface that facilitates the dimensional reduction method based on the t-distributed stochastic neighbor embedding (t-SNE) algorithm, for categorical analysis of mass cytometry data. With One-SENSE, 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 two-dimensional plot. The cellular occupancy of the resulting plots alllows for direct assessment of the relationships between the categories.

Package details

AuthorCheng Yang, Evan Newell, Yong Kee Tan
Bioconductor views DimensionReduction FlowCytometry GUI ImmunoOncology Software
MaintainerYong Kee Tan <>
LicenseGPL (>=3)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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oneSENSE documentation built on Nov. 8, 2020, 4:58 p.m.