Research output per year
Research output per year
Konemiehentie 2, Computer Science building
Finland
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
Person
Person: Teaching staff
Person: Professors, tenure track
Research output: Contribution to conference › Paper › Scientific › peer-review
Research output: Contribution to journal › Article › Scientific › peer-review
Research output: Contribution to journal › Article › Scientific › peer-review
Halla-aho, V. (Creator) & Lähdesmäki, H. (Creator), figshare, 5 Apr 2022
DOI: 10.6084/m9.figshare.19518513, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518513
Dataset
Halla-aho, V. (Creator) & Lähdesmäki, H. (Contributor), figshare, 1 Jan 2022
DOI: 10.6084/m9.figshare.c.5931075.v1, https://springernature.figshare.com/collections/Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/5931075/1 and 4 more links, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518510/1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518513/1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518516/1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_Probabilistic_modeling_methods_for_cell-free_DNA_methylation_based_cancer_classification/19518507/1 (show fewer)
Dataset
Laajala, E. (Creator), Halla-aho, V. (Creator), Grönroos, T. (Creator), Kalim, U. U. (Creator), Vähä-Mäkilä, M. (Creator), Nurmio, M. (Creator), Kallionpää, H. (Creator), Lietzén, N. (Creator), Mykkänen, J. (Creator), Rasool, O. (Creator), Toppari, J. (Creator), University, M. (Creator), Knip, M. (Creator), Lund, R. (Creator), Lahesmaa, R. (Creator) & Lähdesmäki, H. (Creator), figshare, 2022
DOI: 10.6084/m9.figshare.19311109.v2, https://tandf.figshare.com/articles/dataset/Permutation-based_significance_analysis_reduces_the_type_1_error_rate_in_bisulfite_sequencing_data_analysis_of_human_umbilical_cord_blood_samples/19311109/1
Dataset
Orponen, Pekka (Recipient), 6 Dec 2021
Prize: Award or honor granted for academic or artistic career
Jan-Mikael Rybicki (Speaker), Wilhelmiina Hämäläinen (Contributor), Kari K. Pitkänen (Contributor) & Lauri Malmi (Contributor)
Activity: Talk or presentation types › Conference presentation
Pekka Orponen (Member)
Activity: Memberships (typically long-term positions of trust) › Position of trust in an academic community
Pekka Orponen (Host)
Activity: Hosting a visitor types › Hosting an academic visitor
10/10/2023
1 item of Media coverage
Press/Media: Media appearance
05/10/2023
1 item of Media coverage
Press/Media: Media appearance
17/08/2023
1 item of Media coverage
Press/Media: Media appearance