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2020 – today
- 2023
[j8]Ammar Ammar
, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen:
PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity. J. Cheminformatics 15(1): 31 (2023)- 2022
- [j7]Ammar Ammar, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen:
PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflow. J. Cheminformatics 14(1): 8 (2022) - 2021
- [i1]Nordine Aouni, Luc Linders, David Robinson, Len Vandelaer, Jessica Wiezorek, Geetesh Gupta, Rachel Cavill:
Interpreting multi-variate models with setPCA. CoRR abs/2111.09138 (2021) - 2020
- [j6]Firat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou, Pieter Collins, Ralf Peeters:
Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 347-353 (2020)
2010 – 2019
- 2016
- [j5]Rachel Cavill, Danyel Jennen, Jos Kleinjans, Jacob J. Briedé:
Transcriptomic and metabolomic data integration. Briefings Bioinform. 17(5): 891-901 (2016) - 2015
- [j4]Diana M. Hendrickx, Danyel G. J. Jennen, Jacob J. Briedé, Rachel Cavill, Theo M. de Kok, Jos C. S. Kleinjans:
Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative study. Bioinform. 31(13): 2115-2122 (2015) - 2011
- [j3]Atanas Kamburov, Rachel Cavill, Timothy M. D. Ebbels, Ralf Herwig, Hector C. Keun:
Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA. Bioinform. 27(20): 2917-2918 (2011) - [j2]Rachel Cavill, Atanas Kamburov, James K. Ellis, Toby J. Athersuch, Marcus S. C. Blagrove, Ralf Herwig, Timothy M. D. Ebbels, Hector C. Keun:
Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells. PLoS Comput. Biol. 7(3) (2011)
2000 – 2009
- 2009
- [j1]Rachel Cavill, Hector C. Keun, Elaine Holmes, John C. Lindon, Jeremy K. Nicholson, Timothy M. D. Ebbels:
Genetic algorithms for simultaneous variable and sample selection in metabonomics. Bioinform. 25(1): 112-118 (2009) - 2006
- [b1]Rachel Cavill:
Multi-chromosomal genetic programming. University of York, UK, 2006 - [c4]James Alfred Walker, Julian Francis Miller, Rachel Cavill:
A multi-chromosome approach to standard and embedded cartesian genetic programming. GECCO 2006: 903-910 - [c3]Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell:
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. GECCO 2006: 1405-1406 - 2005
- [c2]Rachel Cavill, Stephen L. Smith, Andy Terrell:
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 2005: 935-941 - [c1]Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell:
Multi-chromosomal genetic programming. GECCO 2005: 1753-1759
Coauthor Index
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