| Improved similarity scores for comparing motifs E Tanaka, T Bailey, CE Grant, WS Noble, U Keich Bioinformatics 27 (12), 1603-1609, 2011 | 65 | 2011 |
| Increased genomic prediction accuracy in wheat breeding using a large Australian panel A Norman, J Taylor, E Tanaka, P Telfer, J Edwards, JP Martinant, ... Theoretical and applied genetics 130, 2543-2555, 2017 | 44 | 2017 |
| Order selection and sparsity in latent variable models via the ordered factor LASSO FKC Hui, E Tanaka, DI Warton Biometrics 74 (4), 1311-1319, 2018 | 30 | 2018 |
| Improving MEME via a two-tiered significance analysis E Tanaka, TL Bailey, U Keich Bioinformatics 30 (14), 1965-1973, 2014 | 26 | 2014 |
| Novel features of ARS selection in budding yeast Lachancea kluyveri I Liachko, E Tanaka, K Cox, SCC Chung, L Yang, A Seher, L Hallas, ... BMC genomics 12, 1-18, 2011 | 26 | 2011 |
| Simple outlier detection for a multi-environmental field trial E Tanaka Biometrics 76 (4), 1374-1382, 2020 | 13* | 2020 |
| ASAS-NANP Symposium: prospects for interactive and dynamic graphics in the era of data-rich animal science G Morota, H Cheng, D Cook, E Tanaka Journal of animal science 99 (2), skaa402, 2021 | 12 | 2021 |
| The Foundation is Available for Thinking about Data Visualization Inferentially D Cook, N Reid, E Tanaka Harvard Data Science Review, 2021 | 10 | 2021 |
| Increased accuracy of starch granule type quantification using mixture distributions E Tanaka, JPF Ral, S Li, R Gaire, CR Cavanagh, BR Cullis, A Whan Plant methods 13, 1-7, 2017 | 9 | 2017 |
| Increased genomic prediction accuracy in wheat breeding using a large Australian panel JD Taylor, A Norman, E Tanaka, P Telfer, J Edwards, JP Martinant, ... Springer Verlag, 2017 | 4 | 2017 |
| A plot is worth a thousand tests: Assessing residual diagnostics with the lineup protocol W Li, D Cook, E Tanaka, S VanderPlas Journal of Computational and Graphical Statistics, 1-19, 2024 | 3 | 2024 |
| Symbolic formulae for linear mixed models E Tanaka, FKC Hui Statistics and Data Science: Research School on Statistics and Data Science …, 2019 | 3 | 2019 |
| A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth Database D Amaliah, D Cook, E Tanaka, K Hyde, N Tierney Journal of Statistics and Data Science Education 30 (3), 289-303, 2022 | 2 | 2022 |
| Commentary on “Visualization in Operations Management Research”: Incorporating Statistical Thinking into Visualization Practices for Decision Making in Operational Management E Tanaka, JWY Leung, D Cook INFORMS Journal on Data Science 1 (2), 188-191, 2022 | 1 | 2022 |
| Current state and prospects of R-packages for the design of experiments E Tanaka, D Amaliah arXiv preprint arXiv:2206.07532, 2022 | 1 | 2022 |
| Linkage map construction for the Cranbrook x Halberd mapping population B Cullis, E Tanaka, L Borg, A Smith | 1 | 2016 |
| The Noisy Work of Uncertainty Visualisation Research: A Review H Mason, D Cook, S Goodwin, E Tanaka, S Vanderplus arXiv preprint arXiv:2411.10482, 2024 | | 2024 |
| Automated Assessment of Residual Plots with Computer Vision Models W Li, D Cook, E Tanaka, S VanderPlas, K Ackermann arXiv preprint arXiv:2411.01001, 2024 | | 2024 |
| edibble: An R package to encapsulate elements of experimental designs for better planning, management and workflow E Tanaka arXiv preprint arXiv:2311.09705, 2023 | | 2023 |
| Supplmentary material for “Towards a unified language in experimental designs propagated by a software framework” E Tanaka | | 2023 |
Francis KC HuiThe Australian National UniversityVerified email at anu.edu.au
