Subject: Per-channel basis normalization methods for flow cytometry data

Per-channel basis normalization methods for flow cytometry dataEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Between-sample variation in high-throughput flow cytometry data poses a significant challenge for analysis of large-scale data sets, such as those derived from multicenter clinical trials. It is often hard to match biologically relevant cell populations across samples because of technical variation in sample acquisition and instrumentation differences. Thus, normalization of data is a critical step before analysis, particularly in large-scale data sets from clinical trials, where group-specific differences may be subtle and patient-to-patient variation common. We have developed two normalization methods that remove technic...
Source: Cytometry Part A - November 7, 2009 Category: Molecular Biology Authors: Florian Hahne, Alireza Hadj Khodabakhshi, Ali Bashashati, Chao-Jen Wong, Randy D. Gascoyne, Andrew P. Weng, Vicky Seyfert-Margolis, Katarzyna Bourcier, Adam Asare, Thomas Lumley, Robert Gentleman, Ryan R. Brinkman Source Type: journals