Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units

Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*

(2021) A. P. Verbyla et al.   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Pattern analysis of Australia soil profiles for plant available water capacity

(2021) Daniel W. Gladish et al.   GEODERMA

Proteomics reveals commitment to germination in barley seeds is marked by loss of stress response proteins and mobilisation of nutrient reservoirs

(2021) Sarah K. Osama et al.   Journal of Proteomics

The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

(2021) Yasset Perez-Riverol et al.   NUCLEIC ACIDS RESEARCH

Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis

(2020) Chen Chen et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Changes in malt quality during production in two commercial malt houses

(2020) Adel M. Yousif et al.   JOURNAL OF THE INSTITUTE OF BREWING

A note on model selection using information criteria for general linear models estimated using REML

(2019) Arunas Petras Verbyla   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

The intrinsic and regulated proteomes of barley seeds in response to fungal infection

(2019) Edward D. Kerr et al.   ANALYTICAL BIOCHEMISTRY

Comparison of a one- and two-stage mixed model analysis of Australia’s National Variety Trial Southern Region wheat data

(2018) Beverley Gogel et al.   EUPHYTICA

Issues for cropping and agricultural science in the next 20 years

(2018) R.A. Fischer et al.   FIELD CROPS RESEARCH

Tensor Cubic Smoothing Splines in Designed Experiments Requiring Residual Modelling

(2018) Arūnas P. Verbyla et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Residual Variance–Covariance Modelling in Analysis of Multivariate Data from Variety Selection Trials

(2016) Joanne De Faveri et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments

(2014) Meena Choi et al.   BIOINFORMATICS

Identification of crop cultivars with consistently high lignocellulosic sugar release requires the use of appropriate statistical design and modelling

(2013) Helena Oakey et al.   Biotechnology for Biofuels

Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data

(2013) N. Coffey et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A decade of plant proteomics and mass spectrometry: Translation of technical advancements to food security and safety issues

(2013) Ganesh Kumar Agrawal et al.   MASS SPECTROMETRY REVIEWS

A stage-wise approach for the analysis of multi-environment trials

(2012) Hans-Peter Piepho et al.   BIOMETRICAL JOURNAL

Multiphase Experiments with at Least One Later Laboratory Phase. I. Orthogonal Designs

(2011) C. J. Brien et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Analyzing Time-Course Microarray Data Using Functional Data Analysis - A Review

(2011) Norma Coffey et al.   Statistical Applications in Genetics and Molecular Biology

A COMPARISON OF ANALYSIS METHODS FOR LATE-STAGE VARIETY EVALUATION TRIALS

(2010) Sue J. Welham et al.   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Statistical Design of Quantitative Mass Spectrometry-Based Proteomic Experiments

(2009) Ann L. Oberg et al.   JOURNAL OF PROTEOME RESEARCH

Statistical Analysis of Relative Labeled Mass Spectrometry Data from Complex Samples Using ANOVA

(2008) Ann L. Oberg et al.   JOURNAL OF PROTEOME RESEARCH