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In silico modeling of Gene Regulatory Networks (GRN) has recently aroused a lot of interest in the biological community for modeling and understanding complex pathways. Boolean Networks (BN) are a common modeling tool for in silico dynamic analysis of such ...
In silico modeling of gene regulatory networks has gained some momentum recently due to increased interest in analyzing the dynamics of biological systems. This has been further facilitated by the increasing availability of experimental data on gene–gene, ...
Recent advances of experimental techniques in biology have led to the production of enormous amounts of data on the dynamics of genetic regulatory networks. We present an approach for the identification of PieceWise-Affine (PWA) models of genetic regulator ...
Current advanced molecular biology techniques provide gene expression (mRNA) levels of selected genes of an organism. In such aggregate, the mRNA level of one gene is mediated by the presence of specific proteins and metabolites produced by other genes. Ge ...
Sirtuins (Sirts) compose a family of NAD(+)-dependent deacetylases and/or ADP-ribosyltransferases, which have been implicated in aging, metabolism, and tolerance to oxidative stress. Many of the biological processes regulated by Sirts result from the adapt ...
The extent to which the nuclear organisation of a gene impacts on its ability to be expressed, or whether nuclear organisation merely reflects gene expression states, remains an important but unresolved issue. A model system that has been instrumental in i ...
The mammalian beta-globin locus is a multigene locus containing several globin genes and a number of regulatory elements. During development, the expression of the genes changes in a process called "switching." The most important regulatory element in the ...
The history of globin research is marked by a series of contributions seminal to our understanding of the genome, its function, and its relation to disease. For example, based on studies on hemoglobinopathies, it was understood that gene expression can be ...
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maximum a posteriori sparse solutions and neglect to represent posterior uncertain ...
SHFM3 is a limb malformation characterized by the absence of central digits. It has been shown that this condition is associated with tandem duplications of about 500 kb at 10q24. The Dactylaplasia mice display equivalent limb defects and the two correspon ...