Steve O'Hagan
Steve O'Hagan
Computer Officer, MIB & School of Chemistry, University of Manchester
Verified email at - Homepage
Cited by
Cited by
Development of a robust and repeatable UPLC− MS method for the long-term metabolomic study of human serum
E Zelena, WB Dunn, D Broadhurst, S Francis-McIntyre, KM Carroll, ...
Analytical chemistry 81 (4), 1357-1364, 2009
A metabolome pipeline: from concept to data to knowledge
M Brown, WB Dunn, DI Ellis, R Goodacre, J Handl, JD Knowles, ...
Metabolomics 1 (1), 39-51, 2005
Molecular phenotyping of a UK population: defining the human serum metabolome
WB Dunn, W Lin, D Broadhurst, P Begley, M Brown, E Zelena, ...
Metabolomics 11 (1), 9-26, 2015
Closed-loop, multiobjective optimization of analytical instrumentation: gas chromatography/time-of-flight mass spectrometry of the metabolomes of human serum and of yeast …
S O'Hagan, WB Dunn, M Brown, JD Knowles, DB Kell
Analytical chemistry 77 (1), 290-303, 2005
Illuminating disease and enlightening biomedicine: Raman spectroscopy as a diagnostic tool
DI Ellis, DP Cowcher, L Ashton, S O'Hagan, R Goodacre
Analyst 138 (14), 3871-3884, 2013
Closed-loop, multiobjective optimization of two-dimensional gas chromatography/mass spectrometry for serum metabolomics
S O'Hagan, WB Dunn, JD Knowles, D Broadhurst, R Williams, ...
Analytical Chemistry 79 (2), 464-476, 2007
COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access
RM Salek, S Neumann, D Schober, J Hummel, K Billiau, J Kopka, ...
Metabolomics 11 (6), 1587-1597, 2015
A ‘rule of 0.5’for the metabolite-likeness of approved pharmaceutical drugs
O Steve, N Swainston, J Handl, DB Kell
Metabolomics 11 (2), 323-339, 2015
The apparent permeabilities of Caco-2 cells to marketed drugs: magnitude, and independence from both biophysical properties and endogenite similarities
S O’Hagan, DB Kell
PeerJ 3, e1405, 2015
GeneGini: Assessment via the Gini coefficient of reference “housekeeping” genes and diverse human transporter expression profiles
S O'Hagan, MW Muelas, PJ Day, E Lundberg, DB Kell
Cell systems 6 (2), 230-244. e1, 2018
Software review: the KNIME workflow environment and its applications in Genetic Programming and machine learning
S O’Hagan, DB Kell
Genetic Programming and Evolvable Machines 16 (3), 387-391, 2015
Understanding the foundations of the structural similarities between marketed drugs and endogenous human metabolites
S O'Hagan, DB Kell
Frontiers in Pharmacology 6, 105, 2015
Consensus rank orderings of molecular fingerprints illustrate the ‘most genuine’similarities between marketed drugs and small endogenous human metabolites, but highlight …
S O’Hagan, DB Kell
ADMET and DMPK 5 (2), 85-125, 2017
MetMaxStruct: a Tversky-similarity-based strategy for analysing the (sub) structural similarities of drugs and endogenous metabolites
S O'Hagan, DB Kell
Frontiers in pharmacology 7, 266, 2016
Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures
S O’hagan, DB Kell
Journal of cheminformatics 9 (1), 18, 2017
Analysing and navigating natural products space for generating small, diverse, but representative chemical libraries
S O’Hagan, DB Kell
Biotechnology Journal 13 (1), 1700503, 2018
Enhancing drug efficacy and therapeutic index through cheminformatics-based selection of small molecule binary weapons that improve transporter-mediated targeting: a …
JM Grixti, S O'Hagan, PJ Day, DB Kell
Frontiers in pharmacology 8, 155, 2017
Exploiting genomic knowledge in optimising molecular breeding programmes: algorithms from evolutionary computing
S O'Hagan, J Knowles, DB Kell
PLoS One 7 (11), e48862, 2012
The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data
MW Muelas, F Mughal, S O’Hagan, PJ Day, DB Kell
Scientific reports 9 (1), 1-21, 2019
Stability in metabolic phenotypes and inferred metagenome profiles before the onset of colitis-induced inflammation
M Glymenaki, A Barnes, S O’Hagan, G Warhurst, AJ McBain, ID Wilson, ...
Scientific reports 7 (1), 1-10, 2017
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