Juho Rousu

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Tapio ElomaaDirección de correo verificada de tut.fi
Sandor SzedmakDepartment of Computer Science, Aalto UniversityDirección de correo verificada de aalto.fi
John Shawe-TaylorUCLDirección de correo verificada de cs.ucl.ac.uk
Sebastian BöckerProfessor für Bioinformatik, FSU JenaDirección de correo verificada de uni-jena.de
Markus HeinonenAcademy research Fellow, Aalto UniversityDirección de correo verificada de aalto.fi
Esa PitkänenInstitute for Molecular Medicine Finland (FIMM)Dirección de correo verificada de helsinki.fi
Kai DührkopPhD, Lehrstuhl Bioinformatik, Friedrich-Schiller Universität JenaDirección de correo verificada de uni-jena.de
Craig SaundersHead of Applied Science, Amazon Alexa KnowledgeDirección de correo verificada de amazon.com
Huibin ShenAmazonDirección de correo verificada de amazon.com
Anna CichonskaInstitute for Molecular Medicine Finland FIMM, University of HelsinkiDirección de correo verificada de helsinki.fi
Céline BrouardINRAE, MIA Toulouse, FranceDirección de correo verificada de inra.fr
Hongyu SuDepartment of Computer Science, Aalto UniversityDirección de correo verificada de aalto.fi
Taneli MielikäinenYahoo!Dirección de correo verificada de yahoo-inc.com
Tero AittokallioUniversity of Helsinki, University of Turku, University of OsloDirección de correo verificada de utu.fi
Jana KludasAalto University, FinlandDirección de correo verificada de aalto.fi
Delmiro Fernandez-ReyesPrincipal Investigator in Paediatrics, Global Health Infectious Diseases & Computational StatisticsDirección de correo verificada de ucl.ac.uk
Merja PenttiläDirección de correo verificada de vtt.fi
Nicola ZamboniInstitute of Molecular Systems Biology, ETH ZurichDirección de correo verificada de ethz.ch
Tapio PahikkalaAssociate Professor, University of turku, FinlandDirección de correo verificada de utu.fi
Mikko ArvasBioinformatician at Finnish Red Cross BloodserviceDirección de correo verificada de veripalvelu.fi

Juho Rousu

Professor, Department of Computer Science, Aalto University

Dirección de correo verificada de aalto.fi - Página principal

Machine Learning Computational Metabolomics Computational Biomedicine Computational Systems Biology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Searching molecular structure databases with tandem mass spectra using CSI: FingerID K Dührkop, H Shen, M Meusel, J Rousu, S Böcker Proceedings of the National Academy of Sciences 112 (41), 12580-12585, 2015	357	2015
Kernel-based learning of hierarchical multilabel classification models J Rousu, C Saunders, S Szedmak, J Shawe-Taylor Journal of Machine Learning Research 7, 1601-1626, 2006	323	2006
General and efficient multisplitting of numerical attributes T Elomaa, J Rousu Machine learning 36 (3), 201-244, 1999	216	1999
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information K Dührkop, M Fleischauer, M Ludwig, AA Aksenov, AV Melnik, M Meusel, ... Nature methods 16 (4), 299-302, 2019	149	2019
Metabolite identification and molecular fingerprint prediction through machine learning M Heinonen, H Shen, N Zamboni, J Rousu Bioinformatics 28 (18), 2333-2341, 2012	139	2012
FiD: a software for ab initio structural identification of product ions from tandem mass spectrometric data M Heinonen, A Rantanen, T Mielikäinen, J Kokkonen, J Kiuru, RA Ketola, ... Rapid Communications in Mass Spectrometry: An International Journal Devoted …, 2008	135	2008
Learning hierarchical multi-category text classification models J Rousu, C Saunders, S Szedmak, J Shawe-Taylor Proceedings of the 22nd international conference on Machine learning, 744-751, 2005	116	2005
Critical assessment of small molecule identification 2016: automated methods EL Schymanski, C Ruttkies, M Krauss, C Brouard, T Kind, K Dührkop, ... Journal of cheminformatics 9 (1), 1-21, 2017	100	2017
Meat processing plant microbiome and contamination patterns of cold-tolerant bacteria causing food safety and spoilage risks in the manufacture of vacuum-packaged cooked sausages J Hultman, R Rahkila, J Ali, J Rousu, KJ Björkroth Applied and environmental microbiology 81 (20), 7088-7097, 2015	88	2015
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis A Cichonska, J Rousu, P Marttinen, AJ Kangas, P Soininen, T Lehtimäki, ... Bioinformatics 32 (13), 1981-1989, 2016	80	2016
Metabolite identification through multiple kernel learning on fragmentation trees H Shen, K Dührkop, S Böcker, J Rousu Bioinformatics 30 (12), i157-i164, 2014	79	2014
Inferring branching pathways in genome-scale metabolic networks E Pitkänen, P Jouhten, J Rousu BMC systems biology 3 (1), 1-22, 2009	73	2009
Comparative genome-scale reconstruction of gapless metabolic networks for present and ancestral species E Pitkänen, P Jouhten, J Hou, MF Syed, P Blomberg, J Kludas, M Oja, ... PLoS Comput Biol 10 (2), e1003465, 2014	65	2014
Efficient Computation of Gapped Substring Kernels on Large Alphabets. J Rousu, J Shawe-Taylor Journal of Machine Learning Research 6 (9), 2005	61	2005
Efficient multisplitting revisited: Optima-preserving elimination of partition candidates T Elomaa, J Rousu Data Mining and Knowledge Discovery 8 (2), 97-126, 2004	61	2004
Towards structured output prediction of enzyme function K Astikainen, L Holm, E Pitkänen, S Szedmak, J Rousu BMC proceedings 2 (4), 1-10, 2008	59	2008
A tutorial on canonical correlation methods V Uurtio, JM Monteiro, J Kandola, J Shawe-Taylor, D Fernandez-Reyes, ... ACM Computing Surveys (CSUR) 50 (6), 1-33, 2017	56	2017
Fast metabolite identification with input output kernel regression C Brouard, H Shen, K Dührkop, F d'Alché-Buc, S Böcker, J Rousu Bioinformatics 32 (12), i28-i36, 2016	53	2016
An analytic and systematic framework for estimating metabolic flux ratios from 13 C tracer experiments A Rantanen, J Rousu, P Jouhten, N Zamboni, H Maaheimo, E Ukkonen BMC bioinformatics 9 (1), 1-19, 2008	52	2008
Non-stationary gaussian process regression with hamiltonian monte carlo M Heinonen, H Mannerström, J Rousu, S Kaski, H Lähdesmäki Artificial Intelligence and Statistics, 732-740, 2016	49	2016

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