FastProject analyzes a gene expression matrix and produces a dynamic output report in which two-dimensional projections of the data can be explored. Annotated gene sets (referred to as ‘signatures’) are incorporated so that features in the projections can be understood in relation to the biological processes they might represent. FastProject provides a novel method of scoring each cell against a gene signature so as to minimize the effect of missed transcripts as well as a method to rank signature-projection pairings so that meaningful associations can be quickly identified. Additionally, FastProject is written with a modular architecture and designed to serve as a platform for incorporating and comparing new projection methods and gene selection algorithms.
DeTomaso D., Yosef, N., “FastProject: A Tool for Low-Dimensional Analysis of
Single-Cell RNA-Seq Data”, 2016 [Preprint]
Sample Output Report
Detailed installation instructions for Windows, OSX, and Linux are documented Here
For more instructions on how to run/configure the software see the FastProject Wiki
The latest copy of the FastProject source can be found at the project’s Official Repository