Model selection in MARS-constructed biological networks

Bülbül, Gül Bahar
Purutçuoğlu Gazi, Vilda


Model selection in the construction of biological networks in the high dimensional settings
Bülbül, Gül Bahar; Purutçuoğlu Gazi, Vilda (null; 2018-10-12)
Model Selection in Robust Linear Mixed Models
Gökalp Yavuz, Fulya (null; 2016-05-21)
Model selection in the construction of biological networks under the steady-state conditions
Bülbül, Gül Bahar; Purutçuoğlu Gazi, Vilda (null; 2018-10-04)
The model selection is a decision problem to choose which variables should be included in a statistical model among all plausible models that could be constructed. There are many applications of this problem in different fields from social to mathematical sciences. Here, we particularly deal with the model selection in the construction of the biological networks when the activation of the systems is described under the steady-state condition. The common features of biological networks are their high dimensi...
Model based dynamics analysis in live cell microtubule images.
Altinok, A; Kiriş, Erkan; Peck, AJ; Feinstein, SC; Wilson, L; Manjunath, BS; Rose, K (2007-07-10)
Background: The dynamic growing and shortening behaviors of microtubules are central to the fundamental roles played by microtubules in essentially all eukaryotic cells. Traditionally, microtubule behavior is quantified by manually tracking individual microtubules in time-lapse images under various experimental conditions. Manual analysis is laborious, approximate, and often offers limited analytical capability in extracting potentially valuable information from the data. Results: In this work, we present ...
Model order reduction for pattern formation in reaction-diffusion systems
Karasözen, Bülent; Küçükseyhan, Tuğba; Mülayim, Gülden (null; 2017-09-22)
We compare three reduced order modelling (ROM) techniques: the proper orthogonal decomposition (POD), discrete empirical interpolation (DEIM) [2], and dynamical mode decomposition (DMD) [1] to reaction diusion equations in biology. The formation of patterns in reaction-diusion equations require highly accurate solutions in space and time and therefore require large computational time to reach the steady states. The three reduced order methods are applied to the diusive FitzHugh-Nagumo equation [3] and th...
Citation Formats
G. B. Bülbül and V. Purutçuoğlu Gazi, “Model selection in MARS-constructed biological networks,” 2018, Accessed: 00, 2021. [Online]. Available: