Copulas in random forest algorithm for modellingbiochemical networks



Copula Gaussian graphical modeling of biological networks and Bayesian inference of model parameters
Farnoudkia, H.; Purutçuoğlu Gazi, Vilda (2019-07-01)
A proper understanding of complex biological networks facilitates a better perception of those diseases that plague systems and efficient production of drug targets, which is one of the major research questions under the personalized medicine. However, the description of these complexities is challenging due to the associated continuous, high-dimensional, correlated and very sparse data. The Copula Gaussian Graphical Model (CGGM), which is based on the representation of the multivariate normal distribution ...
Comparision of dry and wet cooling: An applied research on a solar thermal power plant
Timur, Eray; Uzgören, Eray; Sustainable Environment and Energy Systems (2013-6)
The present study evaluates the use of air cooled heat exchangers for an organic Rankine cycle (ORC) as part of a solar thermal power system that can produce 10-30 kWe. Overall thermal efficiency of the system under investigation relies heavily on (i) available solar thermal energy, (ii) performance of the cooling system, and (iii) power consumption due to pumps and fans within the system. For locations with good solar potential but limited water resources, it is crucial to evaluate wet cooling towers...
Converging preferred regions in multi-objective combinatorial optimization problems
Lokman, Banu; Köksalan, Murat; Department of Industrial Engineering (2011)
Finding the true nondominated points is typically hard for Multi-objective Combinatorial Optimization (MOCO) problems. Furthermore, it is not practical to generate all of them since the number of nondominated points may grow exponentially as the problem size increases. In this thesis, we develop an exact algorithm to find all nondominated points in a specified region. We combine this exact algorithm with a heuristic algorithm that approximates the possible locations of the nondominated points. Interacting w...
Compementation studies to identify genes with roles in zinc efficiency in barley
Yılmaz, Aliye Seda; Akkaya, Mahinur S.; Department of Biotechnology (2007)
Zinc (Zn) is an essential micronutrient for the growth and development of all organisms. Zinc deficiency is a widespread micronutrient disorder worldwide, which reduces crop yields and the nutritive value of the grain. Understanding the process of zinc absorption and translocation in crop is essential for this purpose. Zinc is taken up by plants and translocated within plants through high-affinity zinc transporter proteins embedded in the plasma membrane. The Zn transporters are induced under Zn deficiency,...
Multiploid genetic algorithms for multi-objective turbine blade aerodynamic optimization
Öksüz, Özhan; Akmandor, İbrahim Sinan; Department of Aerospace Engineering (2007)
To decrease the computational cost of genetic algorithm optimizations, surrogate models are used during optimization. Online update of surrogate models and repeated exchange of surrogate models with exact model during genetic optimization converts static optimization problems to dynamic ones. However, genetic algorithms fail to converge to the global optimum in dynamic optimization problems. To address these problems, a multiploid genetic algorithm optimization method is proposed. Multi-fidelity surrogate m...
Citation Formats
V. Purutçuoğlu Gazi, “Copulas in random forest algorithm for modellingbiochemical networks,” 2016, Accessed: 00, 2021. [Online]. Available: