Research output per year
Research output per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Lu Cheng
- Department of Computer Science - Academy Research Fellow
- Professorship Lähdesmäki Harri - Academy Research Fellow
Person: Postdoctoral researchers
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Viivi Halla-aho
- School common, SCI
- Department of Computer Science - Doctoral Candidate
- Professorship Lähdesmäki Harri - Doctoral Candidate
Person: Doctoral students, Doctoral studies
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Manuel Haussmann
- Department of Computer Science - Postdoctoral Researcher
- Professorship Lähdesmäki Harri - Postdoctoral Researcher
- Professorship Kaski Samuel - Postdoctoral Researcher
Person: Postdoctoral researchers
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Bayesian Inference for Optimal Transport with Stochastic Cost
Mallasto, A., Heinonen, M. & Kaski, S., 2021, (Accepted/In press) Asian Conference on Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Congruent microbiome signatures in fibrosis-prone autoimmune diseases: IgG4-related disease and systemic sclerosis
Plichta, D. R., Somani, J., Pichaud, M., Wallace, Z. S., Fernandes, A. D., Perugino, C. A., Lähdesmäki, H., Stone, J. H., Vlamakis, H., Chung, D. C., Khanna, D., Pillai, S. & Xavier, R. J., Dec 2021, In: GENOME MEDICINE. 13, 1, 14 p., 35.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)19 Downloads (Pure) -
Continuous-time Model-based Reinforcement Learning
Yildiz, C., Heinonen, M. & Lähdesmäki, H., 21 Jul 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 12009-12018 (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
Datasets
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Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data
Intosalmi, J. (Contributor), Ahlfors, H. (Contributor), Rautio, S. (Contributor), Mannerström, H. (Creator), Chen, Z. (Contributor), Lahesmaa, R. (Contributor), Stockinger, B. (Contributor) & Lähdesmäki, H. (Contributor), 1 Jan 2015
DOI: 10.6084/m9.figshare.c.3612158.v1, https://figshare.com/collections/Analyzing_Th17_cell_differentiation_dynamics_using_a_novel_integrative_modeling_framework_for_time-course_RNA_sequencing_data/3612158/1
Dataset
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A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways
Äijö, T. (Contributor), Huang, Y. (Contributor), Mannerström, H. (Contributor), Chavez, L. (Contributor), Tsagaratou, A. (Contributor), Rao, A. (Contributor) & Lähdesmäki, H. (Contributor), 1 Jan 2016
DOI: 10.6084/m9.figshare.c.3604346.v1, https://figshare.com/collections/A_probabilistic_generative_model_for_quantification_of_DNA_modifications_enables_analysis_of_demethylation_pathways/3604346/1
Dataset
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Genome wide analysis of protein production load in Trichoderma reesei
Pakula, T. M. (Contributor), Nygren, H. (Contributor), Barth, D. (Contributor), Heinonen, M. (Contributor), Castillo, S. (Contributor), Penttilä, M. (Creator) & Arvas, M. (Contributor), 1 Jan 2016
DOI: 10.6084/m9.figshare.c.3603251.v1, https://figshare.com/collections/Genome_wide_analysis_of_protein_production_load_in_Trichoderma_reesei/3603251/1
Dataset
Activities
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Faster Bayesian inference in Joint Species Distribution Models
Gleb Tikhonov (Speaker), Jarno Vanhatalo (Contributor), Otso Ovaskainen (Contributor) & Harri Lähdesmäki (Contributor)
22 Jun 2020 → 26 Jun 2020Activity: Talk or presentation types › Conference presentation
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International Conference on Machine Learning
Maria Osmala (Member)
12 Jul 2020 → 18 Jul 2020Activity: Participating in or organising an event types › Participant of a conference, workshop, session or tutorial
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IEEE Access (Journal)
Juho Timonen (Reviewer)
28 Sep 2020Activity: Publication peer-review and editorial work types › Reviewer of scientific journal
Press / Media
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Statistical and computational analysis of high-throughput ‘omics’ datasets for understanding the etiology and pathogenesis of autoimmune diseases
27/07/2021
1 item of Media coverage
Press/Media: Media appearance
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Artificial Intelligence Model Predicts Which Immune System Key Opens the Locks of Coronavirus
30/04/2021
1 item of Media coverage
Press/Media: Media appearance
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Suomalaistutkijoiden kehittämä tekoäly ennustaa, mikä puolustusjärjestelmän avain sopii koronaviruksen lukkoihin
Emmi Jokinen & Harri Lähdesmäki
22/04/2021
1 item of Media coverage
Press/Media: Media appearance