Juho Rousu

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Sebastian BöckerProfessor für Bioinformatik, FSU JenaAdresse e-mail validée de uni-jena.de
Sandor SzedmakDepartment of Computer Science, Aalto UniversityAdresse e-mail validée de aalto.fi
Tapio ElomaaAdresse e-mail validée de tut.fi
Kai DührkopPhD, Lehrstuhl Bioinformatik, Friedrich-Schiller Universität JenaAdresse e-mail validée de uni-jena.de
John Shawe-TaylorUCLAdresse e-mail validée de cs.ucl.ac.uk
Markus HeinonenAcademy research Fellow, Aalto UniversityAdresse e-mail validée de aalto.fi
Esa PitkänenInstitute for Molecular Medicine Finland (FIMM)Adresse e-mail validée de helsinki.fi
Huibin ShenAmazonAdresse e-mail validée de amazon.com
Anna CichonskaInstitute for Molecular Medicine Finland FIMM, University of HelsinkiAdresse e-mail validée de helsinki.fi
Craig SaundersAmazon IncAdresse e-mail validée de amazon.com
Céline BrouardINRAE, MIA Toulouse, FranceAdresse e-mail validée de inra.fr
Tero AittokallioUniversity of Helsinki, University of Turku, University of OsloAdresse e-mail validée de utu.fi
Tapio PahikkalaProfessor, University of turku, FinlandAdresse e-mail validée de utu.fi
Hongyu SuDepartment of Computer Science, Aalto UniversityAdresse e-mail validée de aalto.fi
Jana KludasAalto University, FinlandAdresse e-mail validée de aalto.fi
Taneli MielikäinenYahoo!Adresse e-mail validée de yahoo-inc.com
Merja PenttiläAdresse e-mail validée de vtt.fi
Delmiro Fernandez-ReyesProf. Biomedical Computing. UCL Dept Computer ScienceAdresse e-mail validée de ucl.ac.uk
Sahely BhadraAssistant Professor, Computer Science and Engineering, Indian Institute of Technology Palakkad.Adresse e-mail validée de iitpkd.ac.in
Emma SchymanskiFull Prof & PI, Environmental Cheminformatics, LCSB, Uni LuxembourgAdresse e-mail validée de uni.lu

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Juho Rousu

Professor, Department of Computer Science, Aalto University

Adresse e-mail validée de aalto.fi - Page d'accueil

Machine Learning Computational Metabolomics Computational Biomedicine Computational Systems Biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	836	2019
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	768	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	364	2006
Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra K Dührkop, LF Nothias, M Fleischauer, R Reher, M Ludwig, MA Hoffmann, ... Nature biotechnology 39 (4), 462-471, 2021	325	2021
General and efficient multisplitting of numerical attributes T Elomaa, J Rousu Machine learning 36, 201-244, 1999	234	1999
Metabolite identification and molecular fingerprint prediction through machine learning M Heinonen, H Shen, N Zamboni, J Rousu Bioinformatics 28 (18), 2333-2341, 2012	195	2012
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, 1-21, 2017	172	2017
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	160	2008
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	135	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	126	2016
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	124	2016
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	123	2005
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	122	2017
Metabolite identification through multiple kernel learning on fragmentation trees H Shen, K Dührkop, S Böcker, J Rousu Bioinformatics 30 (12), i157-i164, 2014	115	2014
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 computational biology 10 (2), e1003465, 2014	97	2014
Computational-experimental approach to drug-target interaction mapping: a case study on kinase inhibitors A Cichonska, B Ravikumar, E Parri, S Timonen, T Pahikkala, A Airola, ... PLoS computational biology 13 (8), e1005678, 2017	95	2017
Inferring branching pathways in genome-scale metabolic networks E Pitkänen, P Jouhten, J Rousu BMC systems biology 3, 1-22, 2009	91	2009
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	88	2016
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates T Elomaa, J Rousu Data Mining and Knowledge Discovery 8, 97-126, 2004	67	2004
Profiling persistent tubercule bacilli from patient sputa during therapy predicts early drug efficacy I Honeyborne, TD McHugh, I Kuittinen, A Cichonska, D Evangelopoulos, ... BMC medicine 14, 1-13, 2016	65	2016

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