Simon Rogers
Simon Rogers
Senior Lecturer, Computing Science, University of Glasgow
Verified email at
Cited by
Cited by
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
A first course in machine learning
S Rogers, M Girolami
Chapman and Hall/CRC, 2016
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
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
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
Variational Bayesian multinomial probit regression with Gaussian process priors
M Girolami, S Rogers
Neural Computation 18 (8), 1790-1817, 2006
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
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
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
A Bayesian regression approach to the inference of regulatory networks from gene expression data
S Rogers, M Girolami
Bioinformatics 21 (14), 3131-3137, 2005
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
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
Probabilistic assignment of formulas to mass peaks in metabolomics experiments
S Rogers, RA Scheltema, M Girolami, R Breitling
Bioinformatics 25 (4), 512-518, 2009
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
Hierarchic Bayesian models for kernel learning
M Girolami, S Rogers
Proceedings of the 22nd international conference on Machine learning, 241-248, 2005
Advances in decomposing complex metabolite mixtures using substructure-and network-based computational metabolomics approaches
MA Beniddir, KB Kang, G Genta-Jouve, F Huber, S Rogers, ...
Natural product reports 38 (11), 1967-1993, 2021
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
Wavelength-selective 1/spl times/4 switch for 128 WDM channels at 50 GHz spacing
DM Marom, DT Neilson, DS Greywall, NR Basavanhally, PR Kolodner, ...
Optical Fiber Communication Conference and Exhibit, FB7-FB7, 2002
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
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
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