Simon Rogers

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Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Rainer BreitlingProfessor of Systems Biology, Manchester Institute of Biotechnology, University of ManchesterVerified email at manchester.ac.uk
Roderick Murray-SmithProfessor of Computing Science, University of Glasgow, School of Computing ScienceVerified email at glasgow.ac.uk
Gerardo Aragon-CamarasaSchool of Computing Science, University of GlasgowVerified email at dcs.gla.ac.uk
John WilliamsonSenior Lecturer, Computing Science, University of GlasgowVerified email at dcs.gla.ac.uk
Maurizio FilipponeAssociate Professor - EURECOMVerified email at eurecom.fr
Daryl WeirAalto UniversityVerified email at aalto.fi
Andrew RamsayResearch Assistant, School of Computing Science, University of GlasgowVerified email at glasgow.ac.uk
Faizuddin Mohd NoorUniversiti Kuala LumpurVerified email at unikl.edu.my
Ryan M. RifkinMIT, GoogleVerified email at mit.edu
Frank DondelingerDirector of Data Science, NBR Oncology, NovartisVerified email at novartis.com
Tamara PolajnarComputer Laboratory, University of Cambridge, UKVerified email at cam.ac.uk
Craig StewartResearch Assistant, University of DundeeVerified email at pipandcraig.com
Katrina WatersPacific Northwest National LaboratoryVerified email at pnnl.gov
Raya Khanin, PhDAssociate Laboratory Member, Memorial Sloan Kettering Cancer Center; Cofounder LifeNomeVerified email at cbio.mskcc.org
Andris JankevicsBiomolecular Mass Spectrometry and Proteomics, Utrecht UniversityVerified email at uu.nl
Daniel BuschekUniversity of BayreuthVerified email at uni-bayreuth.de
Markus LöchtefeldAalborg UniversityVerified email at create.aau.dk
Keith VertanenAssociate Professor, Michigan Technological UniversityVerified email at mtu.edu
Per Ola KristenssonProfessor of Interactive Systems Engineering, Department of Engineering, University of CambridgeVerified email at cam.ac.uk

Simon Rogers

Senior Lecturer, Computing Science, University of Glasgow

Verified email at glasgow.ac.uk

Machine Learning Computational Metabolomics Computational Biology


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Feature-based molecular networking in the GNPS analysis environment LF Nothias, D Petras, R Schmid, K Dührkop, J Rainer, A Sarvepalli, ... Nature methods 17 (9), 905-908, 2020	698	2020
Estimating dataset size requirements for classifying DNA microarray data S Mukherjee, P Tamayo, S Rogers, R Rifkin, A Engle, C Campbell, ... Journal of computational biology 10 (2), 119-142, 2003	350	2003
A first course in machine learning S Rogers, M Girolami Chapman and Hall/CRC, 2016	342	2016
Topic modeling for untargeted substructure exploration in metabolomics JJJ van Der Hooft, J Wandy, MP Barrett, KEV Burgess, S Rogers Proceedings of the National Academy of Sciences 113 (48), 13738-13743, 2016	300	2016
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006	298	2006
MolNetEnhancer: Enhanced molecular networks by integrating metabolome mining and annotation tools M Ernst, KB Kang, AM Caraballo-Rodríguez, LF Nothias, J Wandy, ... Metabolites 9 (7), 144, 2019	269	2019
Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models S Rogers, M Girolami, W Kolch, KM Waters, T Liu, B Thrall, HS Wiley Bioinformatics 24 (24), 2894-2900, 2008	182	2008
A Bayesian regression approach to the inference of regulatory networks from gene expression data S Rogers, M Girolami Bioinformatics 21 (14), 3131-3137, 2005	138	2005
ODE parameter inference using adaptive gradient matching with Gaussian processes F Dondelinger, D Husmeier, S Rogers, M Filippone Artificial intelligence and statistics, 216-228, 2013	135	2013
The latent process decomposition of cDNA microarray data sets S Rogers, M Girolami, C Campbell, R Breitling IEEE/ACM transactions on computational biology and bioinformatics 2 (2), 143-156, 2005	126	2005
Probabilistic assignment of formulas to mass peaks in metabolomics experiments S Rogers, RA Scheltema, M Girolami, R Breitling Bioinformatics 25 (4), 512-518, 2009	115	2009
Accurate garment surface analysis using an active stereo robot head with application to dual-arm flattening L Sun, G Aragon-Camarasa, S Rogers, JP Siebert 2015 IEEE international conference on robotics and automation (ICRA), 185-192, 2015	114	2015
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships F Huber, L Ridder, S Verhoeven, JH Spaaks, F Diblen, S Rogers, ... PLoS computational biology 17 (2), e1008724, 2021	109	2021
Hierarchic Bayesian models for kernel learning M Girolami, S Rogers Proceedings of the 22nd international conference on Machine learning, 241-248, 2005	104	2005
A user-specific machine learning approach for improving touch accuracy on mobile devices D Weir, S Rogers, R Murray-Smith, M Löchtefeld Proceedings of the 25th annual ACM symposium on User interface software and …, 2012	103	2012
Uncertain text entry on mobile devices D Weir, H Pohl, S Rogers, K Vertanen, PO Kristensson Proceedings of the SIGCHI conference on human factors in computing systems …, 2014	94	2014
A community resource for paired genomic and metabolomic data mining MA Schorn, S Verhoeven, L Ridder, F Huber, DD Acharya, AA Aksenov, ... Nature Chemical Biology 17 (4), 363-368, 2021	89	2021
AnglePose: robust, precise capacitive touch tracking via 3d orientation estimation S Rogers, J Williamson, C Stewart, R Murray-Smith Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2011	87	2011
Ms2lda. org: web-based topic modelling for substructure discovery in mass spectrometry J Wandy, Y Zhu, JJJ van der Hooft, R Daly, MP Barrett, S Rogers Bioinformatics 34 (2), 317-318, 2018	80	2018
MetAssign: probabilistic annotation of metabolites from LC–MS data using a Bayesian clustering approach R Daly, S Rogers, J Wandy, A Jankevics, KEV Burgess, R Breitling Bioinformatics 30 (19), 2764-2771, 2014	75	2014

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