Emi Tanaka
Work Experience
Department of Econometrics and Business Statistics
School of Mathematics and Statistics
School of Mathematics and Applied Statistics
Education
Statistical Methods for Improving Motif Evaluation
Supervisor: Dr. Uri Keich
School of Mathematics and Statistics
The University of Sydney, Sydney, Australia, 2015
Major in Mathematics and Statistics
The University of Sydney, Sydney, Australia, 2010
Publications
- Morota, G, Cheng, H, Cook, D, & Tanaka, E (2021) ASAS-NANP SYMPOSIUM: Prospects for interactive and dynamic graphics in the era of data-rich animal science. Journal of animal science, 99(2). Citations: 1.
- Tanaka, E (2020) Simple outlier detection for a multi-environmental field trial. Biometrics, 76(4), 1374-1382. Citations: 4.
- Tanaka, E & Hui, F (2019) Symbolic formulae for linear mixed models. Statistics and data science, 3-21
- Hui, F, Tanaka, E, & Warton, D (2018) Order selection and sparsity in latent variable models via the ordered factor LASSO. Biometrics, 74(4), 1311-1319. Citations: 8.
- Norman, A, Taylor, J, Tanaka, E, Telfer, P, Edwards, J, Martinant, J, & Kuchel, H (2017) Increased genomic prediction accuracy in wheat breeding using a large australian panel. Theoretical and applied genetics, 130(12), 2543-2555. Citations: 17.
- Tanaka, E, Ral, J, Li, S, Gaire, R, Cavanagh, C, Cullis, B, & Whan, A (2017) Increased accuracy of starch granule type quantification using mixture distributions. Plant methods, 13, 107. Citations: 5.
- Tanaka, E (2014) Statistical methods for improving motif evaluation. PhD Thesis
- Tanaka, E, Bailey, T, & Keich, U (2014) Improving MEME via a two-tiered significance analysis. Bioinformatics, 30(14), 1965-1973. Citations: 17.
- Liachko, I, Tanaka, E, Cox, K, Chung, S, Yang, L, Seher, A, Hallas, L, Cha, E, Kang, G, Pace, H, Barrow, J, Inada, M, Tye, B, & Keich, U (2011) Novel features of ARS selection in budding yeast lachancea kluyveri. BMC genomics, 12, 633. Citations: 22.
- Tanaka, E, Bailey, T, Grant, C, Noble, W, & Keich, U (2011) Improved similarity scores for comparing motifs. Bioinformatics, 27(12), 1603-1609. Citations: 50.
Citation counts are sourced from Google Scholar at 2021-06-09.
Software
-
edibble
An R-package that implements the grammar of experimental design.
Creator and maintainer. GitHub stars: 123
Source: https://github.com/emitanaka/edibble
Documentation: https://edibble.emitanaka.org -
anicon
An R-package to insert animated icons for R markdown and Shiny apps.
Creator. GitHub stars: 113
Source: https://github.com/emitanaka/anicon -
nestr
An R-package to build hierarchical or nested sturctures.
Creator and maintainer. GitHub stars: 12
Source: https://github.com/emitanaka/nestr
Documentation: https://nestr.emitanaka.org -
monash
A utility R-package with consolidated tools and templates for staffs at Monash University.
Creator and maintainer. GitHub stars: 3
Source: https://github.com/numbats/monash -
xaringan
An R package for creating slideshows with remark.js through R Markdown.
Contributor. My contribution is the adaptation of the ninja-theme shown in the Documentation. GitHub stars: 1193
Source: https://github.com/yihui/xaringan
Documentation: https://github.com/emitanaka/ninja-theme -
gghdr
Plots of highest density regions (HDR) for ggplot2.
Listed as author but my contribution is small. GitHub stars: 34
Source: https://github.com/ropenscilabs/gghdr
Documentation: https://ropenscilabs.github.io/gghdr -
shinycustomloader
Add a custom loader for R shiny.
Creator. GitHub stars: 101
Source: https://github.com/emitanaka/shinycustomloader -
datalegreyar
Datalegreya, the typeface that melts text and data visualisation, for R markdown.
Creator. GitHub stars: 39
Source: https://github.com/emitanaka/datalegreyar -
Tomtom
A motif comparison tool part of the MEME Suite.
The -incomplete-scores is an implementation as a result of Tanaka et al. (2011).Documentation: https://meme-suite.org/meme/doc/tomtom.html
Talks
List of talks (and links to the slides if available) are at https://emitanaka.org/talks.html.
Below show the last 10 talks.
Workshops
| Workshop | Date | Location | Host |
|---|---|---|---|
| Data Visualisation with R | 15-16 Apr 2021 | Online | Statistical Society of Australia, Canberra Branch |
| Data Wrangling with R | 1-2 Dec 2020 | Online | Statistical Society of Australia, NSW Branch |
| Data Visualisation with R | 11-12 Nov 2020 | Online | Statistical Society of Australia, Victoria Branch |
| Data Visualisation with R | 28-29 Jul 2020 | Online | Statistical Society of Australia, Victoria Branch |
| Tidyverse & R Markdown | 1 Dec 2019 | Adelaide | International Biometrics Society, Australasia Region |
| Building R Packages & R Markdown | 19 Nov 2019 | Melbourne | Statistical Society of Australia, Victoria Branch |
| Communicating with Data via R Markdown | 4 Oct 2019 | Sydney | COMBINE (subcommittee of ABACBS) |
| Gaining skills in biostatistical consultancy | 4 Jul 2019 | Melbourne | Statistical Society of Australia, Biostatistics Section |
| Statistical Methods for Omics Assisted Breeding | 12-15 Nov 2018 | Tokyo | University of Tokyo |
Teaching
| Course ID | Course | University | Semester | Median student evaluation score |
|---|---|---|---|---|
| ETC5521 | Exploratory Data Analysis | Monash | 2020 S2 | 4.82 / 5 |
| ETC5523 | Communicating with Data | Monash | 2020 S2 | 4.88 / 5 |
| ETC5512 | Wild-Caught Data | Monash | 2020 S1 | 4.61 / 5 |
| STAT3012 | Applied Linear Models | Sydney | 2019 S1 | — |
| STAT3012 | Applied Linear Models | Sydney | 2018 S1 | — |
| STAT5002 | Introduction to Statistics | Sydney | 2018 S1 | — |
| STAT3012 | Applied Linear Models | Sydney | 2017 S1 | — |
| STAT5002 | Introduction to Statistics | Sydney | 2017 S1 | — |
| STAT906 | Experimental Design | Wollongong | 2016 S2 | — |
Service
Professional memberships
- Statistical Society of Australia
- International Biometrics Society