Authors: Szedmak, SandorAff1, IDs10994023064337_cor1, Huusari, Riikka, Duong Le, Tat Hong, Rousu, Juho
Superior Title: Machine Learning. 113(6):3525-3544
Authors: Abbasi, Fatemeh, Rousu, Juho
Superior Title: In Current Opinion in Structural Biology June 2024 86
Authors: Sandstrom, Hilda, Rissanen, Matti, Rousu, Juho, Rinke, Patrick
Contributors: Doctoral Programme in Chemistry and Molecular Sciences, Department of Chemistry, Doctoral Programme in Integrative Life Science, Helsinki Institute for Information Technology, Department of Computer Science
Subject Terms: Aerosol, Database, Machine learning, Mass spectrometry, Open science, 116 Chemical sciences
File Description: application/pdf
Relation: This project has received funding from the European Research Council under the European Union's Horizon 2020 research and innovation programme under Grant No. 101002728. The support from the Academy of Finland (334790, 339421, 345802, 346373, 346377, 353836, 358066) is greatly appreciated.; Sandstrom , H , Rissanen , M , Rousu , J & Rinke , P 2023 , ' Data-Driven Compound Identification in Atmospheric Mass Spectrometry ' . https://doi.org/10.1002/advs.202306235; 2a119236-88e9-4126-bd27-8768db04f376; http://hdl.handle.net/10138/569340; 001126433800001
Availability: http://hdl.handle.net/10138/569340
Authors: Bach, EricAff1, IDs42256022005772_cor1, Schymanski, Emma L., Rousu, JuhoAff1, IDs42256022005772_cor3
Superior Title: Nature Machine Intelligence. 4(12):1224-1237
Authors: Armah-Sekum, Robert EboAff1, IDs12859024057894_cor1, Szedmak, Sandor, Rousu, JuhoAff1, IDs12859024057894_cor3
Superior Title: BMC Bioinformatics. 25(1)
Authors: Astero, MaryamAff1, IDs13321024008410_cor1, Rousu, JuhoAff1, IDs13321024008410_cor2
Superior Title: Journal of Cheminformatics. 16(1)
Authors: Sandström, Hilda, Rissanen, Matti P., Rousu, Juho, Rinke, Patrick
Contributors: Department of Applied Physics, Department of Computer Science, Computational Electronic Structure Theory, Computer Science Professors, Computer Science - Large-scale Computing and Data Analysis (LSCA), Computer Science - Artificial Intelligence and Machine Learning (AIML), Computer Science - Computational Life Sciences (CSLife), Helsinki Institute for Information Technology (HIIT), Professorship Rousu Juho, University of Helsinki, Aalto-yliopisto, Aalto University
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Relation: Advanced Science; Volume 11, issue 8; Sandström, H, Rissanen, M P, Rousu, J & Rinke, P 2023, ' Data-driven compound identification in atmospheric mass spectrometry ', Advanced Science, vol. 11, no. 8 . https://doi.org/10.1002/advs.202306235; PURE UUID: b0267b0b-3969-4f76-bf28-32c247149beb; PURE ITEMURL: https://research.aalto.fi/en/publications/b0267b0b-3969-4f76-bf28-32c247149beb; PURE LINK: http://www.scopus.com/inward/record.url?scp=85179999729&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/143051230/Advanced_Science_-_2023_-_Sandstr_m_-_Data_Driven_Compound_Identification_in_Atmospheric_Mass_Spectrometry.pdf; https://aaltodoc.aalto.fi/handle/123456789/127454; URN:NBN:fi:aalto-202404113077
Authors: Sandström, Hilda, Rissanen, Matti, Rousu, Juho, Rinke, Patrick
Relation: http://arxiv.org/abs/2309.02268
Availability: http://arxiv.org/abs/2309.02268
Authors: Szedmak, Sandor, Huusari, Riikka, Le, Tat Hong Duong, Rousu, Juho
Relation: http://arxiv.org/abs/2307.01558
Availability: http://arxiv.org/abs/2307.01558
Authors: Kong, Weikaixin, Midena, Gianmarco, Chen, Yingjia, Athanasiadis, Paschalis, Wang, Tianduanyi, Rousu, Juho, He, Liye, Aittokallio, Tero
Superior Title: In Computational and Structural Biotechnology Journal 2022 20:2807-2814
Authors: Dührkop, Kai, Nothias, Louis-Félix, Fleischauer, Markus, Reher, Raphael, Ludwig, Marcus, Hoffmann, Martin A.Aff1, Aff4, Petras, DanielAff2, Aff5, Gerwick, William H.Aff3, Aff6, Rousu, Juho, Dorrestein, Pieter C., Böcker, SebastianAff1, IDs4158702007408_cor11
Superior Title: Nature Biotechnology: The Science and Business of Biotechnology. 39(4):462-471
Superior Title: Sabzevari , M , Szedmak , S , Penttilä , M , Jouhten , P & Rousu , J 2022 , ' Strain design optimization using reinforcement learning ' , PLoS Computational Biology , vol. 18 , no. 6 , e1010177 . https://doi.org/10.1371/journal.pcbi.1010177
Subject Terms: Escherichia coli/genetics, Metabolic Engineering/methods, Metabolic Networks and Pathways, Saccharomyces cerevisiae/genetics, Synthetic Biology
Contributors: Télécom Paris, Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom Paris (IMT)-Télécom Paris, Signal, Statistique et Apprentissage (S2A), Institut Mines-Télécom Paris (IMT)-Télécom Paris-Institut Mines-Télécom Paris (IMT)-Télécom Paris, Statistical Machine Learning and Parsimony (SIERRA), Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Computer Science Aalto, Aalto University, Chaire DSAIDIS Data Science & Artificial Intelligence for Digitalized Industry & Services
Superior Title: ISSN: 1532-4435.
Subject Terms: Reduced-rank regression, Structured prediction, Statistical learning theory, Kernel methods, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
Relation: hal-03888760; https://telecom-paris.hal.science/hal-03888760; https://telecom-paris.hal.science/hal-03888760/document; https://telecom-paris.hal.science/hal-03888760/file/21-1357.pdf
Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning
Relation: http://arxiv.org/abs/2202.03813
Availability: http://arxiv.org/abs/2202.03813
Authors: Voutilainen, SanniAff1, Heinonen, MarkusAff2, Aff3, Andberg, Martina, Jokinen, Emmi, Maaheimo, Hannu, Pääkkönen, Johan, Hakulinen, Nina, Rouvinen, Juha, Lähdesmäki, Harri, Kaski, SamuelAff2, Aff3, Rousu, JuhoAff2, Aff3, Penttilä, Merja, Koivula, Anu
Superior Title: Applied Microbiology and Biotechnology. 104(24):10515-10529
Authors: Wang, Tianduanyi, Gautam, Prson, Rousu, Juho, Aittokallio, Tero
Superior Title: In Computational and Structural Biotechnology Journal 2020 18:3819-3832
Authors: Uurtio, Viivi, Bhadra, Sahely, Rousu, Juho
Contributors: Helsinki Institute for Information Technology (HIIT), Centre of Excellence in Computational Inference, COIN, Professorship Rousu Juho, Department of Computer Science, Aalto-yliopisto, Aalto University
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Relation: International Conference on Machine Learning; Proceedings of the 36th International Conference on Machine Learning; Proceedings of Machine Learning Research; Volume 97; Uurtio , V , Bhadra , S & Rousu , J 2019 , Large-Scale Sparse Kernel Canonical Correlation Analysis . in 36th International Conference on Machine Learning, ICML 2019 . Proceedings of Machine Learning Research , vol. 97 , JMLR , pp. 6383-6391 , International Conference on Machine Learning , Long Beach , California , United States , 09/06/2019 . < http://proceedings.mlr.press/v97/uurtio19a.html >; PURE UUID: 2976ff2a-04aa-4591-a3eb-7aacc6c7221b; PURE ITEMURL: https://research.aalto.fi/en/publications/2976ff2a-04aa-4591-a3eb-7aacc6c7221b; PURE LINK: http://proceedings.mlr.press/v97/uurtio19a.html; PURE FILEURL: https://research.aalto.fi/files/36898778/Uurtio_et.al_Large_Scale_Sparse.19a.pdf; https://aaltodoc.aalto.fi/handle/123456789/40288; URN:NBN:fi:aalto-201909205314
Availability: https://aaltodoc.aalto.fi/handle/123456789/40288
Authors: Julkunen, Heli, Cichonska, Anna, Gautam, Prson, Szedmak, Sandor, Douat, Jane, Pahikkala, Tapio, Aittokallio, Tero, Rousu, Juho
Contributors: Department of Computer Science, Professorship Rousu Juho, Helsinki Institute for Information Technology (HIIT), Computer Science - Computational Life Sciences (CSLife), University of Helsinki, University of Turku, Aalto University, Aalto-yliopisto
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Relation: Nature Communications; Volume 11, issue 1; Julkunen, H, Cichonska, A, Gautam, P, Szedmak, S, Douat, J, Pahikkala, T, Aittokallio, T & Rousu, J 2020, ' Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects ', Nature Communications, vol. 11, no. 1, 6136 . https://doi.org/10.1038/s41467-020-19950-z; PURE UUID: 68ba7570-885c-40bc-98b3-f35fde41e81a; PURE ITEMURL: https://research.aalto.fi/en/publications/68ba7570-885c-40bc-98b3-f35fde41e81a; PURE LINK: http://www.scopus.com/inward/record.url?scp=85096960727&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/53902254/Julkunen_Leveraging.s41467_020_19950_z.pdf; https://aaltodoc.aalto.fi/handle/123456789/101516; URN:NBN:fi:aalto-2020123160337
Authors: Bach, Eric, Rogers, Simon, Williamson, John, Rousu, Juho
Contributors: Professorship Rousu Juho, University of Glasgow, Helsinki Institute for Information Technology (HIIT), Department of Computer Science, Aalto-yliopisto, Aalto University
File Description: application/pdf
Relation: Bioinformatics; Bach , E , Rogers , S , Williamson , J & Rousu , J 2020 , ' Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification ' , Bioinformatics , vol. 37 , no. 12 , pp. 1724-1731 . https://doi.org/10.1093/bioinformatics/btaa998; PURE UUID: 9e49d7a2-8796-4f7c-bb1b-493d7d73d3ec; PURE ITEMURL: https://research.aalto.fi/en/publications/9e49d7a2-8796-4f7c-bb1b-493d7d73d3ec; PURE LINK: https://github.com/aalto-ics-kepaco/msms_rt_score_integration; PURE FILEURL: https://research.aalto.fi/files/54082893/Bach_Probabilistic_Framework.btaa998.pdf; https://aaltodoc.aalto.fi/handle/123456789/101570; URN:NBN:fi:aalto-2020123160391