Using flowViz to visualize flow cytometry data
Open Access
- 1 February 2008
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 24 (6) , 878-879
- https://doi.org/10.1093/bioinformatics/btn021
Abstract
Summary: Automated analysis of flow cytometry (FCM) data is essential for it to become successful as a high throughput technology. We believe that the principles of Trellis graphics can be adapted to provide useful visualizations that can aid such automation. In this article, we describe the R/Bioconductor package flowViz that implements such visualizations. Availability: flowViz is available as an R package from the Bioconductor project: http://bioconductor.org Contact:dsarkar@fhcrc.orgKeywords
This publication has 1 reference indexed in Scilit:
- High-Content Flow Cytometry and Temporal Data Analysis for Defining a Cellular Signature of Graft-Versus-Host DiseaseTransplantation and Cellular Therapy, 2007