Daniel Laajala
teelaa@utu.fi +358 29 450 3805 Vesilinnantie 5 Turku |
- OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer (2023)
- PLoS Computational Biology
- High intratumoral dihydrotestosterone is associated with antiandrogen resistance in VCaP prostate cancer xenografts in castrated mice (2022)
- iScience
- Androgen receptor signaling in prostate cancer genomic subtypes (2021)
- Cancers
- A three-feature prediction model for metastasis-free survival after surgery of localized clear cell renal cell carcinoma (2021)
- Scientific Reports
- Group polarisation among location-based game players: an analysis of use and attitudes towards game slang (2021)
- Internet Research
- A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions (2020)
- Scientific Data
- Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets (2020)
- International Journal of Medical Informatics
- Do primal instincts explain engagement in location-based games? A hypothesis-forming focus group study on territorial behavior (2020)
- CEUR Workshop Proceedings
- Phosphoproteome and drug-response effects mediated by the three protein phosphatase 2A inhibitor proteins CIP2A, SET, and PME-1 (2020)
- Journal of Biological Chemistry
- Modeling genetic heterogeneity of drug response and resistance in cancer (2019)
- Current Opinion in Systems Biology



