Regulatory networks studied by ellipsoidal calculus

Download
index.pdf
2015
Yayla, Selim
Show full item record
60
views
41
downloads
The identification of regulatory networks affected by noise and data uncertainty is a serious problem in many Operational Research applications. The fundamental structure of underlying systems can be established by regulatory networks in many sector like ecology, education and finance. After clustering and classification methods gene/target and environmental states can be grouped into functional behaviour. The analysis of complex regulatory systems under uncertainty is a compounded complex by the unknown interactions between the variables which are represented by ellipsoids. Ellipsoidal calculus is used in determination of the explicit representations of the uncertain multivariate states of the system. MATLAB Ellipsoidal Toolbox (ET) provides efficient plotting routines of ellipsoids, hyperplanes and reach sets. In this thesis, several regression models are studied in order to approximate regulatory networks under ellipsoidal uncertainty and Ellipsoidal Toolbox routines are explained for representing a parameter estimation and inverse problem.
Ellipsoid., Regression analysis., Regulatory networks., Mathematical optimization.
http://etd.lib.metu.edu.tr/upload/12619326/index.pdf
https://hdl.handle.net/11511/25043
Graduate School of Applied Mathematics, Thesis

Suggestions

Genomic modelling of bipolar disorders: comparison of multifactor dimension reduction and classification-based data mining methods
Açıkel, Cengizhan; Aydın Son, Yeşim; Department of Medical Informatics (2017)
This study proposes an infrastructure with a global workflow management algorithm in order to interconnect facilities, reporting units and radiologists on a single access interface. This infrastructure is enhanced by a reporting workflow optimization algorithm (RWOA) to determine the optimum match between the inspection and radiologist in terms of experience, subspeciality, response time and workload parameters. RWOA increases the efficiency of the reporting process by decreasing access time to medical images a...
Research data management in Turkey: perceptions and practices
Aydınoğlu, Arsev Umur; TAŞKIN, ZEHRA (2017-01-01)
Purpose - The massive increase in research data being produced nowadays has highlighted the importance of research data management (RDM) to science. Research data not only have to be cost effective but also reliable, discoverable, accessible, and reusable. In this regard, the purpose of this paper is to investigate the perceptions and practices of Turkish researchers on the subject of RDM.
Feature reduction for gene regulatory network control
Tan, Mehmet; Polat, Faruk; Alhajj, Reda (2007-10-17)
Scalability is one of the most important issues in control problems, including the control of gene regulatory networks. In this paper we argue that it is possible to improve scalability of gene regulatory networks control by reducing the number of genes to be considered by the control policy; and consequently propose a novel method to estimate genes that are less important for control. The reported test results on real and synthetic data demonstrate the applicability and effectiveness of the proposed approach.
Finite-horizon online energy-efficient transmission scheduling schemes for communication links
Bacınoğlu, Baran Tan; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2013)
The proliferation of embedded systems, mobile devices, wireless sensor applications and increasing global demand for energy directed research attention toward self-sustainable and environmentally friendly systems. In the field of communications, this new trend pointed out the need for study of energy constrained communication and networking. Particularly, in the literature, energy efficient transmission schemes have been well studied for various cases. However, fundamental results have been obtained mostly ...
Data mining analysis of economic indicators of countries
Güngör, Erdem; Yozgatlıgil, Ceylan; Department of Statistics (2020-8)
Data Mining is becoming a famous analysis day by day to reveal the hidden information within big data. In the study, we use data mining techniques on the economic indicators of the countries. The four data mining techniques are to be implemented on the dataset. Making homogenous groups of the countries whose economic characteristics are similar are obtained by the Clustering Algorithm. After the clustering algorithm is performed, we pass to Association Rule Data Mining to investigate the most exported produ...
Citation Formats
S. Yayla, “Regulatory networks studied by ellipsoidal calculus,” M.S. - Master of Science, Middle East Technical University, 2015.
METU IIS - Integrated Information Service open@metu.edu.tr