Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms-Reference-Cited by-同舟云学术

Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms

Published:2015-06-11 Issue:1 Volume:89 Page:44-58
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Zaunders John¹²,Jing Junmei³,Leipold Michael⁴,Maecker Holden⁴,Kelleher Anthony D.¹²,Koch Inge⁵

Affiliation:

1. St Vincent's Centre for Applied Medical Research; St Vincent's Hospital; Darlinghurst New South Wales 2010 Australia

2. Kirby Institute, UNSW Australia, Kensington, New South Wales; 2052 Australia

3. Centre for Bioinformatics Science; Mathematical Science Institute, Australia National University; Canberra Australian Capital Territory 2600 Australia

4. Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine; Stanford California 94305

5. School of Mathematical Sciences; University of Adelaide; South Australia 5005 Australia

Funder

Grant sponsor: Australian National Health and Medical Research Council (NHMRC)

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cyto.a.22704/fullpdf

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4. Tcell quality in memory and protection: Implications for vaccine design;Seder;Nat Rev Immunol,2008

5. New technologies for autoimmune disease monitoring;Maecker;Curr Opin Endocrinol Diabetes Obes,2010

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