Statistical Methods for Flow Cytometric Data

Project Member(s): Wand, M.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2005

Summary: Pre-UTS project awarded whilst at UNSW - The project will aid users of flow cytometry throughout Australia. It will help foster collaborations between the biological and mathematical scientists. Biological research is an important part of Australia's future and is becoming very quantitative. During the course of the project, two PhD students will be provided strong training in Statistics geared towards biological applications. The project is aligned with the 8th Human Leucocyte Differentiation Antigen workshop to culminate in Adelaide in December 2004 and will aid the fight against blood cell cancers. The project will also aid research on plankton with potential commercial benefits for Australia's marine scallop industry.

Publications:

Kauermann, G, Ormerod, JT & Wand, MP 2010, 'Parsimonious Classification Via Generalized Linear Mixed Models', Journal of Classification, vol. 27, no. 1, pp. 89-110.
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Naumann, U, Luta, G & Wand, MP 2010, 'The curvHDR method for gating flow cytometry samples', BMC Bioinformatics, vol. 11, no. 1, pp. 44-56.
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Naumann, U & Wand, MP 2009, 'Automation in high‐content flow cytometry screening', Cytometry Part A, vol. 75A, no. 9, pp. 789-797.
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FOR Codes: Statistics

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.