Dr Emi Tanaka

F07 - Carslaw Building
The University of Sydney

Biographical details

I am an applied statistician whose research interest is in developing high impact statistical methods and useful, easy-to-use tools for application in bioinformatics, biometrics and biology. I enjoy working in a collaborative environment with people from many different backgrounds, with an aim to enhance our knowledge and understanding of the real world data.

I am a member of the Statistics Research Group at School of Mathematics and Statistics.

Research interests

My current research interests are:

  • linear mixed models - in particular with application in agriculture
  • factor analytic models
  • statistical computing - in particular with speeding up parameter estimation in linear mixed models
  • experimental design
  • statistical genetics and genomics

Teaching and supervision

Supervision

  • Luke Mazur (PhD) Computational methods for analysis of big data - linear mixed models with application in genomics

Past students

  • Nicole Cocks (Honours) Improving the computational efficiency of model-based design with an application to the design of multiphase experiments
  • Nicole Cocks (Summer) Statistical protocols for late maturity alpha-amylase in wheat
  • Lauren Borg (Honours) On spatial model selection for phenotypic experiments in plant improvement programs
  • Lauren Borg (Summer) On the design and analysis of early stage plant breeding selection experiments
  • Safee Azam (Project) On the accuracy of the delta method for functions of REML estimates of variance parameters

Contact me if you are interested in a project with statistical application and methodology in agriculture or in more general, a project with statistical modelling (not limited to any discipline).

Teaching

I co-teach STAT3012 (Applied Linear Models) and STAT5002 (Introduction to Statistics) in Semester 1 (March-June).

Timetable

E_Tanaka

Selected publications

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Journals

  • Tanaka, E., Bailey, T., Keich, U. (2014). Improving MEME via a two-tiered significance analysis. Bioinformatics, 30(14), 1965-1973. [More Information]
  • Tanaka, E., Bailey, T., Grant, C., Noble, W., Keich, U. (2011). Improved similarity scores for comparing motifs. Bioinformatics, 27(12), 1603-1609. [More Information]
  • Liachko, I., Tanaka, E., Cox, K., Claire, S., Yang, L., Seher, A., Hallas, L., Cha, E., Kang, G., Pace, H., Keich, U., et al (2011). Novel Features of ARS Selection in Budding Yeast Lachancea kluyveri. BMC Genomics, 12(633), 1-18. [More Information]

2014

  • Tanaka, E., Bailey, T., Keich, U. (2014). Improving MEME via a two-tiered significance analysis. Bioinformatics, 30(14), 1965-1973. [More Information]

2011

  • Tanaka, E., Bailey, T., Grant, C., Noble, W., Keich, U. (2011). Improved similarity scores for comparing motifs. Bioinformatics, 27(12), 1603-1609. [More Information]
  • Liachko, I., Tanaka, E., Cox, K., Claire, S., Yang, L., Seher, A., Hallas, L., Cha, E., Kang, G., Pace, H., Keich, U., et al (2011). Novel Features of ARS Selection in Budding Yeast Lachancea kluyveri. BMC Genomics, 12(633), 1-18. [More Information]

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