Automated analysis of flow cytometry data comes of age
Cytometry A
.
2016 Jan;89(1):13-5.
doi: 10.1002/cyto.a.22810.
Authors
Ryan R Brinkman
1
2
,
Nima Aghaeepour
3
,
Greg Finak
4
,
Raphael Gottardo
4
,
Tim Mosmann
5
,
Richard H Scheuermann
6
7
Affiliations
1
British Columbia Cancer Agency, Vancouver, British Columbia, Canada.
2
Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
3
Baxter Laboratory for Stem Cell Biology, Stanford University, Stanford, California.
4
Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
5
David H. Smith Center for Vaccine Biology and Immunology, University of Rochester Medical Center, Rochester, New York.
6
J. Craig Venter Institute, La Jolla, California.
7
Department of Pathology, University of California, San Diego, California.
PMID:
26812230
DOI:
10.1002/cyto.a.22810
No abstract available
Publication types
Editorial
MeSH terms
Algorithms
Computational Biology / methods*
Data Interpretation, Statistical*
Flow Cytometry / methods*
Humans