Research output per year
Research output per year
Personal profile
Research
I work with statistical methods and machine learning techniques for quality control and pre-processing of high-throughput data, in collaboration with microarray facilities. Also, adaptation of machine learning techniques for survival analyses.
Teaching
I have had various teaching assingments for mid-bachelor basic courses (multidimensional calculus, statistical physics, quantum mechanics, fluid dynamics). I have created a fluid dynamics course from scratch, as a compulsory element in the meteorology bachelor program. I have written an apparently much appreciated course book on statistical physics and quantum mechanics. Currently, I teach the fluid dynamics course, and parts of an introductory quantum mechanics course. My main pedagogical project is to design problem solving sessions where students actively discuss problem solving strategies, rather than just presenting a complete solution.
Expertise related to 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. This person’s work contributes towards the following SDG(s):
UKÄ subject classification
- Bioinformatics (Computational Biology)
- Other Computer and Information Science
- Cancer and Oncology
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Collaborations the last five years
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Research output
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Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning
Andersson, E., Hult, J., Troein, C., Stridh, M., Sjögren, B., Pekar-Lukacs, A., Hernandez-Palacios, J., Edén, P., Persson, B., Olariu Annell , V., Malmsjö, M. & Merdasa, A., 2024 May 17, In: iScience. 27, 5, 17 p., 109653.Research output: Contribution to journal › Article › peer-review
Open Access -
A community effort to identify and correct mislabeled samples in proteogenomic studies
Yoo, S., Shi, Z., Wen, B., Kho, S., Pan, R., Feng, H., Chen, H., Carlsson, A., Edén, P., Ma, W., Raymer, M., Maier, E. J., Tezak, Z., Johansson, E., Hinton, D., Rodriguez, H., Zhu, J., Boja, E., Wang, P. & Zhang, B., 2021 May 14, In: Patterns. 2, 5, 14 p., 100245.Research output: Contribution to journal › Article › peer-review
Open Access -
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, N., Linse, B., Edén, P. & Ohlsson, M., 2019 Nov 6, In: Neurocomputing. 365, p. 137-146 10 p.Research output: Contribution to journal › Article › peer-review
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Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Dihge, L., Ohlsson, M., Edén, P., Bendahl, P. O. & Rydén, L., 2019 Jun 21, In: BMC Cancer. 19, 1, 610.Research output: Contribution to journal › Article
Open Access -
A multicenter study investigating the molecular fingerprint of psychological resilience in breast cancer patients: Study protocol of the SCAN-B resilience study
Axelsson, U., Rydén, L., Johnsson, P., Edén, P., Månsson, J., Hallberg, I. R. & Borrebaeck, C. A. K., 2018 Aug 6, In: BMC Cancer. 18, 1, 789.Research output: Contribution to journal › Article › peer-review
Open Access
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The origin of horses and their contribution to the success of the Vikings
Mohseni, N. (Researcher), Elhaik, E. (Supervisor), Ahrén, D. (Assistant supervisor) & Edén, P. (Assistant supervisor)
2022/06/27 → 2026/06/27
Project: Dissertation
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Applications of Deep Learning in Breast Cancer Research
Zhang, D. (Researcher), Edén, P. (Supervisor), Ohlsson, M. (Assistant supervisor) & Dihge, L. (Assistant supervisor)
2022/03/10 → 2026/06/10
Project: Dissertation
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Prognostic factors for local recurrence and radioresistance
Fernö, M. (PI), Lövgren, K. (Research assistant), Baker, S. (Project coordinator), Malmström, P. (Researcher), Niméus, E. (Researcher), Sjöström, M. (Research student), Fredriksson, I. (Researcher), Wärnberg, F. (Researcher), Staaf, J. (Researcher), Edén, P. (Researcher), Karlsson, P. (Researcher), Lundstedt, D. (Researcher), Hartman, L. (Researcher), Kovács, A. (Researcher) & Werner Rönnerman, E. (Researcher)
Anna och Edwin Bergers stiftelse
2000/01/03 → …
Project: Research
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Deep learning methods for Survival analysis and imputation
Linse, B. (Researcher), Ohlsson, M. (Supervisor), Edén, P. (Assistant supervisor) & Nilsson, J. (Assistant supervisor)
Project: Dissertation
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Statistical inference with deep latent variable models
Abiri, N. (Researcher), Ohlsson, M. (Researcher), Peterson, C. (Researcher) & Edén, P. (Researcher)
2014/11/01 → 2019/10/31
Project: Dissertation
Prizes and Distinction
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NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge
Ohlsson, M. (Recipient), Peterson, C. (Recipient), Edén, P. (Recipient), Linse, B. (Recipient) & Carlsson, A. (Recipient), 2019 Feb 10
Prize: Prize (including medals and awards)