Construction of a new model to investigate breast cancer data

U Ağyüz, V Purutçuoğlu, E Purutçuoğlu… - … and Bioeconomics IV …, 2021 - Springer
Modelling is a way to describe the elements of the network/system, their states and their
interactions with other elements in order to understand the current state of knowledge of a …

Long-tailed graphical model and frequentist inference of the model parameters for biological networks

M Ağraz, V Purutçuoğlu - Journal of Statistical Computation and …, 2020 - Taylor & Francis
The biological organism is a complex structure regulated by interactions of genes and
proteins. Various linear and nonlinear models can define activations of these interactions. In …

Vine copula graphical models in the construction of biological networks

H Farnoudkia, V Purutcuoglu - Hacettepe Journal of Mathematics …, 2021 - dergipark.org.tr
The copula Gaussian graphical model (CGGM) is one of the major mathematical models for
high dimensional biological networks which provides a graphical representation, especially …

[PDF][PDF] Graphical models in inference of biological networks

H Farnoudkia - 2020 - etd.lib.metu.edu.tr
In recent years, particularly, on the studies about the complex system's diseases, better
understanding the biological systems and observing how the system's behaviors, which are …

The Model Selection Methods for Sparse Biological Networks

MA Kaygusuz, V Purutçuoğlu - … of the International Conference on Artificial …, 2020 - Springer
It is still crucial problem to estimate high dimensional graphical models and to choose the
regularization parameter in dependent data. There are several classical methods such as …

Novel model selection criteria on high dimensionalbiological networks

GB Bülbül - 2019 - open.metu.edu.tr
Gaussian graphical model (GGM) is an useful tool to describe the undirected associ-ations
among the genes in the sparse biological network. To infer such high dimen-sional …