Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Erzan, Ayşe"'
Autor:
Erzan, Ayşe, Tuncer, Aslı
Publikováno v:
Linear Algebra and its Applications 586 (2020) 111-129
A generalized Fourier analysis on arbitrary graphs calls for a detailed knowledge of the eigenvectors of the graph Laplacian. Using the symmetries of the Cayley tree, we recursively construct the family of eigenvectors with exponentially growing eige
Externí odkaz:
http://arxiv.org/abs/1806.01006
Autor:
Erzan, Ayşe, Tuncer, Aslı
Publikováno v:
In Linear Algebra and Its Applications 1 February 2020 586:111-129
Autor:
Danacı, Burçin, Erzan, Ayşe
We study metanetworks arising in genotype and phenotype spaces, in the context of a model population of Boolean graphs evolved under selection for short dynamical attractors. We define the adjacency matrix of a graph as its genotype, which gets mutat
Externí odkaz:
http://arxiv.org/abs/1412.1640
Publikováno v:
Phys. Rev. E 89, 062719 (2014)
Topological features of gene regulatory networks can be successfully reproduced by a model population evolving under selection for short dynamical attractors. The evolved population of networks exhibit motif statistics, summarized by significance pro
Externí odkaz:
http://arxiv.org/abs/1402.7280
Autor:
Tuncer, Aslı, Erzan, Ayşe
Publikováno v:
Phys. Rev. E 92, 022106 (2015)
We implement the spectral renormalization group on different deterministic non-spatial networks without translational invariance. We calculate the thermodynamic critical exponents for the Gaussian model on the Cayley tree and the diamond lattice, and
Externí odkaz:
http://arxiv.org/abs/1312.2885
Autor:
Aygun, Eser, Erzan, Ayse
Publikováno v:
Journal of Physics: Conference Series 319 (2011) 012007
Discrete amorphous materials are best described in terms of arbitrary networks which can be embedded in three dimensional space. Investigating the thermodynamic equilibrium as well as non-equilibrium behavior of such materials around second order pha
Externí odkaz:
http://arxiv.org/abs/1107.3457
Publikováno v:
Journal of Theoretical Biology 263 (2010) 281-294
Gene regulatory networks (GRN) are being studied with increasingly precise quantitative tools and can provide a testing ground for ideas regarding the emergence and evolution of complex biological networks. We analyze the global statistical propertie
Externí odkaz:
http://arxiv.org/abs/0912.5381
Autor:
Erbudak, Mehmet, Erzan, Ayse
The progress of the prostate-specific antigen after radical prostatectomy is observed for a patient in order to extract information on the growth mode of the tumor cells. An initial fast-growth mode goes over to a slower power-law regime within two y
Externí odkaz:
http://arxiv.org/abs/0902.1477
Publikováno v:
PLoSONE vol. 2, e501 (2007)
We model the transcription factor based regulation network of yeast using a content-based network model that mimicks the recognition of binding motifs on the regulatory regions of the genes. We are thereby able to faithfully reproduce many of the top
Externí odkaz:
http://arxiv.org/abs/q-bio/0605045
Autor:
Sengun, Yasemin, Erzan, Ayse
We construct a minimal content-based realization of the duplication and divergence model of genomic networks introduced by Wagner [A. Wagner, Proc. Natl. Acad. Sci. {\bf 91}, 4387 (1994)] and investigate the scaling properties of the directed degree
Externí odkaz:
http://arxiv.org/abs/q-bio/0510022