Modeling stochastic hybrid systems with memory with an application to immune response of cancer dynamics

Download

index.pdf

Date

2014

Author

Gökgöz, Nurgül

Metadata

Show full item record

Item Usage Stats

131
views

111
downloads

Dynamics of cancer involve some complex interactions like immune system responses. Many different models of immune response to tumor growth exist in the literature. Most of the available models are first principles models which have problems in determining the model parameters. For potential use in treatment planning, a model should be able to adopt to subject by subject variability and unknown factors. However, such an approach for a complicated problem like cancer dynamics has some drawbacks. First of all, there exist some unknown factors. Secondly, models with fixed parameters do not allow considering subject-by-subject variability. An alternative approach to this problem is inferring the parameters and determining system behaviour from empirical observation. In inferential modeling case, we first select a model class and infer the parameters from the observations. For this purpose, we used hybrid systems that are suitable for inferential modeling due to their analytical and computational advances. For many biological and physiological systems, the behaviour of system and its responses depend on whole history rather than a combination of historical events. We utilize and further develop hybrid systems with memory to have a more realistic representation. Finally, we also incorporate stochastic calculus in our model to include uncertainities and random perturbation.

Subject Keywords

Cancer, Tumors, Tumors, Immune system, Hybrid systems

URI

http://etd.lib.metu.edu.tr/upload/12616927/index.pdf
https://hdl.handle.net/11511/23387

Collections

Graduate School of Applied Mathematics, Thesis

Suggestions

OpenMETU
Core

Multiscale tumor modeling Ünsal, Serbülent; Acar, Aybar Can; Department of Health Informatics (2014) Cancer’s complex behavior decreases success rates of the cancer therapies. The usual steps cancer therapy are, deciding phase of the cancer and planing the therapy according to medical guidelines and there is no room or chance for personalized medicine. Simulation systems that use patient specific data as input and up-to-date scientific evidence as business rules has chance to help clinicians for evidence based personalized medicine practice.In this study our aim is creating a basic model to guide researche...
DETECTION OF CANCER STEM CELLS IN MICROSCOPIC IMAGES BY USING REGION COVARIANCE AND CODIFFERENCE METHOD Oguz, Oguzhan; Muenzenmayer, Christian; Wittenberg, Thomas; ÜNER, AYŞEGÜL; ÇETİN, AHMET ENİS; Atalay, Rengül (2015-10-30) This paper presents a cancer stem cell detection method using region covariance and codifference method. It focuses on detection of Cancer Stem Cell (CSC) in microscopic images which are stained with CD13 marker. Features of CSC images are extracted by using both covariance method and its multiplication free version codifference method and these features are fed into a Support Vector Machine (SVM) for classification. Experimental results are presented.
Characterization and prediction of protein interfaces to infer protein-protein interaction networks Keskin, Ozlem; Tunçbağ, Nurcan; GÜRSOY, Attila (2008-04-01) Complex protein-protein interaction networks govern biological processes in cells. Protein interfaces are the sites where proteins physically interact. Identification and characterization of protein interfaces will lead to understanding how proteins interact with each other and how they are involved in protein-protein interaction networks. What makes a given interface bind to different proteins; how similar/different the interactions in proteins are some key questions to be answered. Enormous amount of prot...
Capture of rare circulating tumor cells from blood on bio-activated oxide surface inside microfluidic channels Ateş, Hatice Ceren; Külah, Haluk; Özgür, Ebru; Department of Micro and Nanotechnology (2018) Isolation and characterization of circulating tumor cells (CTCs) have important clinical significance in terms of prognosis and early detection of response to treatment. Moreover, downstream characterization of CTCs may help better patient stratification and therapy guidance. However, CTCs are extremely rare (~10 CTCs/1010 peripheral blood cells) and highly sensitive, and specific technology is required for their isolation. Rapidly developing microfluidic technologies offer variety of advantages in rare cel...
Integration of topological measures for eliminating non-specific interactions in protein interaction networks BAYIR, Murat Ali; GUNEY, Tacettin Dogacan; Can, Tolga (Elsevier BV, 2009-05-28) High-throughput protein interaction assays aim to provide a comprehensive list of interactions that govern the biological processes in a cell. These large-scale sets of interactions, represented as protein-protein interaction networks, are often analyzed by computational methods for detailed biological interpretation. However, as a result of the tradeoff between speed and accuracy, the interactions reported by high-throughput techniques occasionally include non-specific (i.e., false-positive) interactions. ...

Citation Formats

N. Gökgöz, “Modeling stochastic hybrid systems with memory with an application to immune response of cancer dynamics,” Ph.D. - Doctoral Program, Middle East Technical University, 2014.