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 | 875 | 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 | 364 | 2003 |
A first course in machine learning S Rogers, M Girolami Chapman and Hall/CRC, 2016 | 362 | 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 | 337 | 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 | 315 | 2019 |
Variational Bayesian multinomial probit regression with Gaussian process priors M Girolami, S Rogers Neural Computation 18 (8), 1790-1817, 2006 | 298 | 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 | 188 | 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 | 146 | 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 | 139 | 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 | 137 | 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 | 123 | 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 | 121 | 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 | 117 | 2009 |
Hierarchic Bayesian models for kernel learning M Girolami, S Rogers Proceedings of the 22nd international conference on Machine learning, 241-248, 2005 | 106 | 2005 |
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 | 104 | 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 | 104 | 2012 |
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 | 102 | 2021 |
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 | 102 | 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 | 100 | 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 | 95 | 2014 |