Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide. - David B. Allison; Peter M. Visscher; Guilherme J. M. Rosa; Christopher I. Amos (Comput. Stat. Data Anal., 2009)

A mixture model approach for the analysis of small exploratory microarray experiments. - William M. Muir; Guilherme J. M. Rosa; Barry R. Pittendrigh; Z. Xu; S. D. Rider; Matthew Fountain; Joe Ogas (Comput. Stat. Data Anal., 2009)

Optimizing design of two-stage experiments for transcriptional profiling. - Juan P. Steibel; Guilherme J. M. Rosa; Robert J. Tempelman (Comput. Stat. Data Anal., 2009)

Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data. - Francisco Peñagaricano; Bruno Valente; Juan P. Steibel; Ronald O. Bates; Catherine W. Ernst; Hasan Khatib; Guilherme J. M. Rosa (BMC Syst. Biol., 2015)

Applying family analyses to electronic health records to facilitate genetic research. - Xiayuan Huang; Robert C. Elston; Guilherme J. M. Rosa; John Mayer; Zhan Ye; Terrie E. Kitchner; Murray H. Brilliant; David Page; Scott J. Hebbring (Bioinform., 2018)

Record linkage for farm-level data analytics: Comparison of deterministic, stochastic and machine learning methods. - Vera Cardoso Ferreira Aiken; João Ricardo Rebouças Dórea; Juliano Sabella Acedo; Fernando Gonçalves de Sousa; Fábio Guerra Dias; Guilherme Jordão de Magalhães Rosa (Comput. Electron. Agric., 2019)

Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia. - Arthur F. A. Fernandes; Eduardo M. Turra; Érika R. de Alvarenga; Tiago L. Passafaro; Fernando B. Lopes; Gabriel F. O. Alves; Vikas Singh; Guilherme J. M. Rosa (Comput. Electron. Agric., 2020)

Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms. - Rafael E. P. Ferreira; Tiago Bresolin; Guilherme J. M. Rosa; João R. R. Dórea (Comput. Electron. Agric., 2022)

Monitoring mortality events in floor-raised broilers using machine learning algorithms trained with feeding behavior time-series data. - Anderson A. C. Alves; Arthur F. A. Fernandes; Vivian Breen; Rachel Hawken; Guilherme J. M. Rosa (Comput. Electron. Agric., 2024)

Multi-modal machine learning for the early detection of metabolic disorder in dairy cows using a cloud computing framework. - Rafael E. P. Ferreira; Maria Angels de Luis Balaguer; Tiago Bresolin; Ranveer Chandra; Guilherme J. M. Rosa; Heather M. White; João R. R. Dórea (Comput. Electron. Agric., 2024)