Rachel Cavill - researchr alias

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Viewing Publication 1 - 13 from 13

2023

PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinityAmmar Ammar, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen. jcheminf, 15(1):31, December 2023. [doi]

2022

PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflowAmmar Ammar, Rachel Cavill, Chris T. A. Evelo, Egon L. Willighagen. jcheminf, 14(1):8, 2022. [doi]

2020

Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer SubtypesFirat Ismailoglu, Rachel Cavill, Evgueni N. Smirnov, Shuang Zhou 0001, Pieter Collins, Ralf Peeters. tcbb, 17(1):347-353, 2020. [doi]

2016

Transcriptomic and metabolomic data integrationRachel Cavill, Danyel Jennen, Jos Kleinjans, Jacob J. Briedé. bib, 17(5):891-901, 2016. [doi]

2015

Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative studyDiana M. Hendrickx, Danyel G. J. Jennen, Jacob J. Briedé, Rachel Cavill, Theo M. de Kok, Jos C. S. Kleinjans. bioinformatics, 31(13):2115-2122, 2015. [doi]

2011

Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour CellsRachel Cavill, Atanas Kamburov, James K. Ellis, Toby J. Athersuch, Marcus S. C. Blagrove, Ralf Herwig, Timothy M. D. Ebbels, Hector C. Keun. ploscb, 7(3), 2011. [doi]

Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLAAtanas Kamburov, Rachel Cavill, Timothy M. D. Ebbels, Ralf Herwig, Hector C. Keun. bioinformatics, 27(20):2917-2918, 2011. [doi]

2009

Genetic algorithms for simultaneous variable and sample selection in metabonomicsRachel Cavill, Hector C. Keun, Elaine Holmes, John C. Lindon, Jeremy K. Nicholson, Timothy M. D. Ebbels. bioinformatics, 25(1):112-118, 2009. [doi]

2006

Multi-chromosomal genetic programmingRachel Cavill. PhD thesis, University of York, UK, 2006. [doi]

Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problemRachel Cavill, Stephen L. Smith, Andy M. Tyrrell. gecco 2006: 1405-1406 [doi]

A multi-chromosome approach to standard and embedded cartesian genetic programmingJames Alfred Walker, Julian Francis Miller, Rachel Cavill. gecco 2006: 903-910 [doi]

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 problemsRachel Cavill, Stephen L. Smith, Andy Terrell. cec 2005: 935-941 [doi]

Multi-chromosomal genetic programmingRachel Cavill, Stephen L. Smith, Andrew M. Tyrrell. gecco 2005: 1753-1759 [doi]

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