Hae
Aineistot 1-5 / 5
Extracting information from high-throughput gene expression data with pathway analysis and deconvolution
(Turun yliopisto, 2022-05-06)
Modern technologies allow for the collection of large biological datasets that can be utilised for diverse health-related applications. However, to extract useful information from such data, computational methods are needed. ...
Mathematical modelling and survival prediction in cancer
(Turun yliopisto, 2022-12-02)
Cancer is one of the leading causes of death, thus opening a vast need for extensive research and insights. The survival prospects, along with treatment benefits and costs (economical or health-related), can be predicted ...
Mathematical modelling and numerical simulation of physical cloud processes in a wide range of spatiotemporal scales
(Turun yliopisto, 2023-12-15)
The mathematical modelling and numerical simulation of clouds and climate include numerous phenomena that are tough nuts to crack as they cover a wide range of spatiotemporal scales. In many ways, time is a vital factor, ...
On Problems of optimal timing under regime switching and poisson constraints
(Turun yliopisto, 2024-11-29)
The focus of this thesis is in analyzing optimal stopping (OSP) and impulse control problems (ICP) of linear diffusions under regime switching and Poisson constraints. Regime switching means that the problem’s parameters ...
Exploring novel ways to improve the MRI-based image segmentation in the head region
(Turun yliopisto, 2024-04-19)
Accurate electron density information is extremely important in positron emission tomography (PET) attenuation correction (AC) and radiotherapy (RT) treatment planning (RTP), especially in the head region, as many interesting ...