Research output per year
Research output per year
Organisation profile
Organisation profile
Computational Life Sciences
Department of Computer Science Research area
Research on Computational modelling, data analysis and design of biological systems.
The research area covers the multi-disciplinary activities on computational modelling, data analysis and design of biological systems. The field focuses on the development of original computational methods and their application in collaboration with leading national and international experts in different branches of life sciences.
The research area is linked to health-related research programmes in HIIT and FCAI, and Aalto key research areas of Health and Wellbeing as well as Materials and Sustainable Use of Natural Resources.
Research topics: bioinformatics, cheminformatics, complex systems, computational chemistry, computational immunology, computational metabolomics, computational systems biology, DNA nanotechnology, medical imaging, neuroinformatics, personalized medicine, pharmacoinformatics, statistical epidemology, synthetic biology.
Research area webpage: https://www.aalto.fi/en/department-of-computer-science/computational-life-sciences
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):
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Talayeh Aledavood
- Department of Computer Science - University Lecturer
- Lecturer Aledavood Talayeh group - University Lecturer
- Computer Science Lecturers - University Lecturer
- Computer Science - Computational Life Sciences (CSLife) - University Lecturer
Person: Teaching staff
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Wilhelmiina Hämäläinen
- Department of Computer Science - Senior University Lecturer
- Computer Science Lecturers - Senior University Lecturer
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Senior University Lecturer
- Computer Science - Computational Life Sciences (CSLife) - Senior University Lecturer
- Lecturer Hämäläinen Wilhelmiina group - Senior University Lecturer
Person: Teaching staff
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Harri Lähdesmäki
- Department of Computer Science - Professor (Associate Professor)
- Helsinki Institute for Information Technology (HIIT)
- Computer Science Professors - Professor (Associate Professor)
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Professor (Associate Professor)
- Computer Science - Computational Life Sciences (CSLife) - Professor (Associate Professor)
- Professorship Lähdesmäki Harri - Professor (Associate Professor)
Person: Professors, tenure track
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A comparative study of clinical trial and real-world data in patients with diabetic kidney disease
Kurki, S., Halla-aho, V., Haussmann, M., Lähdesmäki, H., Leinonen, J. V. & Koskinen, M., 19 Jan 2024, In: Scientific Reports. 14, 1, 1731.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)51 Downloads (Pure) -
A General Design Method for Scaffold-Free DNA Wireframe Nanostructures
Elonen, A., Mohammed, A. & Orponen, P., 2024, Unconventional Computation and Natural Computation - 21st International Conference, UCNC 2024, Proceedings. Cho, D.-J. & Kim, J. (eds.). Springer, p. 178-189 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14776 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Attention-based approach to predict drug–target interactions across seven target superfamilies
Schulman, A., Rousu, J., Aittokallio, T. & Tanoli, Z., 1 Aug 2024, In: Bioinformatics. 40, 8, p. 1-14 14 p., btae496.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile30 Downloads (Pure)
Datasets
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Additional file 2 of Probabilistic modeling methods for cell-free DNA methylation based cancer classification
Halla-aho, V. (Creator) & Lähdesmäki, H. (Creator), figshare, 5 Apr 2022
DOI: 10.6084/m9.figshare.19518510, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518510
Dataset
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Modeling binding specificities of transcription factor pairs with random forests
Antikainen, A. A. (Creator), Heinonen, M. (Creator) & Lähdesmäki, H. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.c.6031779.v1, https://springernature.figshare.com/collections/Modeling_binding_specificities_of_transcription_factor_pairs_with_random_forests/6031779/1 and 2 more links, https://doi.org/10.6084/m9.figshare.20003418.v1, https://doi.org/10.6084/m9.figshare.20003421.v1 (show fewer)
Dataset
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Drug combination data used for comboLTR in "Modeling drug combination effects via latent tensor reconstruction"
Wang, T. (Creator), Szedmak, S. (Creator), Wang, H. (Creator), Aittokallio, T. (Creator), Pahikkala, T. (Creator), Cichonska, A. (Creator) & Rousu, J. (Creator), Zenodo, 2021
DOI: 10.5281/zenodo.4625083, https://zenodo.org/record/4625084
Dataset
Prizes
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Algorithmic design methods and tools for DNA nanotechnology
Orponen, P. (Recipient), 27 Feb 2023
Prize: Granted funding (personal grants)
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Knight First Class of the Order of the White Rose of Finland
Orponen, P. (Recipient), 6 Dec 2021
Prize: Award or honor granted for academic or artistic career
Activities
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Behavioral Ecology and Sociobiology (Journal)
Hämäläinen, W. (Editorial board member)
May 2024Activity: Publication peer-review and editorial work types › Reviewer of scientific journal
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Fundacao para a Ciencia e Tecnologia (External organisation)
Orponen, P. (Member)
24 Sept 2024 → 2 Oct 2024Activity: Memberships (typically long-term positions of trust) › Position of trust in a funding organization
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Informatics Europe (External organisation)
Orponen, P. (Member)
2024Activity: Memberships (typically long-term positions of trust) › Position of trust in an academic community
Press/Media
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Research Findings from Aalto University Update Understanding of Machine Learning (EPIC-TRACE: predicting TCR binding to unseen epitopes using attention and contextualized embeddings)
27/12/2023
1 item of Media coverage
Press/Media: Media appearance
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University of Turku and Abo Akademi University Researchers Target Type 1 Diabetes (Serum APOC1 levels are decreased in young autoantibody positive children who rapidly progress to type 1 diabetes)
10/10/2023
1 item of Media coverage
Press/Media: Media appearance
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Research Data from University of Turku and Abo Akademi University Update Understanding of Data Analytics (Permutation-based significance analysis reduces the type 1 error rate in bisulphite sequencing data analysis of human umbilical cord blood ...)
05/10/2023
1 item of Media coverage
Press/Media: Media appearance