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Juho Rousu
Juho Rousu
Professor, Department of Computer Science, Aalto University
Zweryfikowany adres z aalto.fi - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
12962019
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
10032015
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
5492021
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
3742006
General and efficient multisplitting of numerical attributes
T Elomaa, J Rousu
Machine learning 36, 201-244, 1999
2341999
Metabolite identification and molecular fingerprint prediction through machine learning
M Heinonen, H Shen, N Zamboni, J Rousu
Bioinformatics 28 (18), 2333-2341, 2012
2182012
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
2032017
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
1682015
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
1662008
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
1462016
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
1452016
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
1442017
Metabolite identification through multiple kernel learning on fragmentation trees
H Shen, K Dührkop, S Böcker, J Rousu
Bioinformatics 30 (12), i157-i164, 2014
1292014
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
1252017
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
1242005
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
1132016
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
1102014
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
H Julkunen, A Cichonska, P Gautam, S Szedmak, J Douat, T Pahikkala, ...
Nature communications 11 (1), 6136, 2020
1012020
Inferring branching pathways in genome-scale metabolic networks
E Pitkänen, P Jouhten, J Rousu
BMC systems biology 3, 1-22, 2009
912009
Learning with multiple pairwise kernels for drug bioactivity prediction
A Cichonska, T Pahikkala, S Szedmak, H Julkunen, A Airola, M Heinonen, ...
Bioinformatics 34 (13), i509-i518, 2018
822018
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