Simon Rogers
Simon Rogers
Senior Lecturer, Computing Science, University of Glasgow
Dirección de correo verificada de glasgow.ac.uk
Título
Citado por
Citado por
Año
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
3172003
Variational Bayesian multinomial probit regression with Gaussian process priors
M Girolami, S Rogers
Neural Computation 18 (8), 1790-1817, 2006
2762006
A first course in machine learning
S Rogers, M Girolami
Chapman and Hall/CRC, 2016
2532016
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
1922020
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
1752016
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
1732008
A Bayesian regression approach to the inference of regulatory networks from gene expression data
S Rogers, M Girolami
Bioinformatics 21 (14), 3131-3137, 2005
1342005
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
1132005
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
1082013
Probabilistic assignment of formulas to mass peaks in metabolomics experiments
S Rogers, RA Scheltema, M Girolami, R Breitling
Bioinformatics 25 (4), 512-518, 2009
1042009
Hierarchic Bayesian models for kernel learning
M Girolami, S Rogers
Proceedings of the 22nd international conference on Machine learning, 241-248, 2005
1032005
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
982019
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
892012
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
832015
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
742014
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
732011
Bayesian model-based inference of transcription factor activity
S Rogers, R Khanin, M Girolami
BMC bioinformatics 8 (2), 1-11, 2007
662007
Prognostic classification of relapsing favorable histology Wilms tumor using cDNA microarray expression profiling and support vector machines
RD Williams, SN Hing, BT Greer, CC Whiteford, JS Wei, R Natrajan, ...
Genes, Chromosomes and Cancer 41 (1), 65-79, 2004
622004
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
592014
An Optimal Frequency in Ca2+ Oscillations for Stomatal Closure Is an Emergent Property of Ion Transport in Guard Cells  
C Minguet-Parramona, Y Wang, A Hills, S Vialet-Chabrand, H Griffiths, ...
Plant Physiology 170 (1), 33-42, 2016
482016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20