Rachel Cavill

According to our database, Rachel Cavill authored at least 14 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, December, 2023

2022

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

2021

Interpreting multi-variate models with setPCA.

Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill

CoRR, 2021

2020

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.

Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2016

Transcriptomic and metabolomic data integration.

Rachel Cavill, Danyel Jennen, Jos Kleinjans, Jacob J. Briedé

Briefings Bioinform., 2016

2015

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

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

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

2009

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

2006

Multi-chromosomal genetic programming.

Rachel Cavill

PhD thesis, 2006

A multi-chromosome approach to standard and embedded cartesian genetic programming.

James Alfred Walker, Julian Francis Miller, Rachel Cavill

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem.

Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

Multi-chromosomal genetic programming.

Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

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, Andy Terrell

Proceedings of the IEEE Congress on Evolutionary Computation, 2005