Mehrad Mahmoudian
mehmah@utu.fi Tykistökatu 6 Turku |
Statistical Data Analysis, Survival Analysis, Machine Learning
- Cell type markers indicate distinct contributions of decidual stromal cells and natural killer cells in preeclampsia (2022)
- Reproduction
- Histone H3K4me3 breadth in hypoxia reveals endometrial core functions and stress adaptation linked to endometriosisA predictive model of overall survival in patients with metastatic castration-resistant prostate cancer (2022)
- iScienceF1000Research
- Differential ATAC-seq and ChIP-seq peak detection using ROTS (2021)
- NAR Genomics and Bioinformatics: Nucleic Acids Research Genomics and Bioinformatics
- Stable Iterative Variable Selection (2021)
- BioinformaticsJournal of HypertensionEuropean Urology
- Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota—Implementation and Computational Analysis (2020)
- Journal of Proteome ResearchLancet Oncology
- (2020)
- Transcriptomic responses to hypoxia in endometrial and decidual stromal cells (2020)
- Reproduction
- A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer (2019)
- F1000Research
- (2019)
- Scandinavian Journal of Urology
- (2018)
- Nature Communications
- (2017)
- How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? (2017)
- European Urology
- Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models. (2017)