The performance of polyploid evolutionary algorithms is improved both by having many chromosomes and by having many copies of each chromosome on symbolic regression problems. - Rachel Cavill; Stephen L. Smith 002; Andy Terrell (Congress on Evolutionary Computation, 2005)

Multi-chromosomal genetic programming. - Rachel Cavill; Stephen L. Smith 002; Andrew M. Tyrrell (GECCO, 2005)

Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. - Rachel Cavill; Stephen L. Smith 002; Andy M. Tyrrell (GECCO, 2006)

A multi-chromosome approach to standard and embedded cartesian genetic programming. - James Alfred Walker; Julian Francis Miller; Rachel Cavill (GECCO, 2006)

Multi-chromosomal genetic programming. - Rachel Cavill (2006)

Genetic algorithms for simultaneous variable and sample selection in metabonomics. - Rachel Cavill; Hector C. Keun; Elaine Holmes; John C. Lindon; Jeremy K. Nicholson; Timothy M. D. Ebbels (Bioinform., 2009)

Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA. - Atanas Kamburov; Rachel Cavill; Timothy M. D. Ebbels; Ralf Herwig; Hector C. Keun (Bioinform., 2011)

Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells. - Rachel Cavill; Atanas Kamburov; James K. Ellis; Toby J. Athersuch; Marcus S. C. Blagrove; Ralf Herwig; Timothy M. D. Ebbels; Hector C. Keun (PLoS Comput. Biol., 2011)

Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative study. - Diana M. Hendrickx; Danyel G. J. Jennen; Jacob J. Briedé; Rachel Cavill; Theo M. de Kok; Jos C. S. Kleinjans (Bioinform., 2015)

Transcriptomic and metabolomic data integration. - Rachel Cavill; Danyel Jennen; Jos Kleinjans; Jacob J. Briedé (Briefings Bioinform., 2016)

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. - Firat Ismailoglu; Rachel Cavill; Evgueni N. Smirnov; Shuang Zhou 001; Pieter Collins; Ralf Peeters (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Interpreting multi-variate models with setPCA. - Nordine Aouni; Luc Linders; David Robinson; Len Vandelaer; Jessica Wiezorek; Geetesh Gupta; Rachel Cavill (CoRR, 2021)

PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflow. - Ammar Ammar; Rachel Cavill; Chris T. A. Evelo; Egon L. Willighagen (J. Cheminformatics, 2022)

PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity. - Ammar Ammar; Rachel Cavill; Chris T. A. Evelo; Egon L. Willighagen (J. Cheminformatics, 2023)

Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment. - Danial Khan; Zohaib Salahuddin; Yumeng Zhang; Sheng Kuang; Shruti Atul Mali; Henry C. Woodruff; Sina Amirrajab; Rachel Cavill; Eduardo Ibor-Crespo; Ana Jimenez-Pastor; Adrián Galiana-Bordera; Paula Jimenez Gomez; et al. (CoRR, 2025)