Rachel Cavill

15 papers A 3B 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment.
CoRR
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, Luis Martí-Bonmatí, Philippe Lambin
2023 J jnl
PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity.
J. Cheminformatics
Ammar Ammar, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen
2022 J jnl
PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflow.
J. Cheminformatics
Ammar Ammar, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen
2021 J jnl
Interpreting multi-variate models with setPCA.
CoRR
Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill
2020 J jnl
Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters
2016 J jnl
Transcriptomic and metabolomic data integration.
Briefings Bioinform.
Rachel Cavill, Danyel Jennen, Jos Kleinjans, Jacob J. Briedé
2015 J jnl
Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative study.
Bioinform.
Diana M. Hendrickx, Danyel G. J. Jennen, Jacob J. Briedé, Rachel Cavill, Theo M. de Kok, Jos C. S. Kleinjans
2011 J jnl
Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells.
PLoS Comput. Biol.
Rachel Cavill, Atanas Kamburov, James K. Ellis, Toby J. Athersuch, Marcus S. C. Blagrove, Ralf Herwig, Timothy M. D. Ebbels, Hector C. Keun
2011 J jnl
Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA.
Bioinform.
Atanas Kamburov, Rachel Cavill, Timothy M. D. Ebbels, Ralf Herwig, Hector C. Keun
2009 J jnl
Genetic algorithms for simultaneous variable and sample selection in metabonomics.
Bioinform.
Rachel Cavill, Hector C. Keun, Elaine Holmes, John C. Lindon, Jeremy K. Nicholson, Timothy M. D. Ebbels
2006 A conf
A multi-chromosome approach to standard and embedded cartesian genetic programming.
GECCO
James Alfred Walker, Julian Francis Miller, Rachel Cavill
2006 — —
Multi-chromosomal genetic programming.
Rachel Cavill
2006 A conf
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem.
GECCO
Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell
2005 A conf
Multi-chromosomal genetic programming.
GECCO
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell
2005 B conf
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.
Congress on Evolutionary Computation
Rachel Cavill, Stephen L. Smith, Andy Terrell