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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, M 2010, 'Parsimonious classification via generalised linear mixed models', Journal of Classification, vol. 27, no. 1, pp. 89-110.
View/Download from: UTS OPUS or Publisher's site

Naumann, U, Luta, G & Wand, M 2010, 'The curvHDR method for gating flow cytometry samples', BMC Bioinformatics, vol. 11, pp. 44-56.
View/Download from: UTS OPUS or Publisher's site

Naumann, U & Wand, M 2009, 'Automation in high-content flow cytometry screening', Cytometry, vol. 75, no. 9, pp. 789-797.
View/Download from: UTS OPUS or Publisher's site

FOR Codes: Statistics