Spatial Information and Multivalued Genetic Regulatory Networks1
نویسندگان
چکیده
Modelling frameworks for biological networks are used to reason on the models and their properties. One of the main problems with such modelling frameworks is to determine the dynamics of gene regulatory networks (GRN). Recently, it has been observed in in vivo experiments and in genomic and transcriptomic studies, that spatial information is useful to better understand both the mechanisms and the dynamics of GRN. In this paper we propose to extend the modelling framework of R. Thomas in order to introduce such spatial information between genes, and we will show how these further informations allow us to restrict the number of dynamics to consider.
منابع مشابه
On the conversion of multivalued gene regulatory networks to Boolean dynamics
We consider the modeling approach introduced by R. Thomas for the qualitative study of gene regulatory networks. Tools and results on regulatory networks are often concerned only with the Boolean case of this formalism. However, multivalued approaches are sometimes more suited to model biological situations. Multivalued networks can be converted to partial Boolean maps, in a way that preserves ...
متن کاملAn orthogonal wavelet representation of multivalued images
In this paper, a new orthogonal wavelet representation of multivalued images is presented. The idea for this representation is based on the concept of maximal gradient of multivalued images. This concept is generalized from gradients toward linear vector operators in the image plane with equal components along rows and columns. Using this generalization, the pyramidal dyadic wavelet transform a...
متن کاملBayesian Variable Selection and Data Integration for Biological Regulatory Networks1 by Shane
A substantial focus of research in molecular biology are gene regulatory networks: the set of transcription factors and target genes which control the involvement of different biological processes in living cells. Previous statistical approaches for identifying gene regulatory networks have used gene expression data, ChIP binding data or promoter sequence data, but each of these resources provi...
متن کاملSemantic Video Object Extraction Based on Backward Tracking of Multivalued Watershed
We present a novel algorithm for semantic video object (SVO) extraction, based on a new multivalued morphological spatial segmentation that integrates color and edge information, and object tracking by backward region classi cation. Our proposed spatial segmentation incorporates a new marker extraction method based on intensity edge information that improves the de nition of the real borders of...
متن کاملMapping multivalued onto Boolean dynamics.
This paper deals with the generalized logical framework defined by René Thomas in the 70's to qualitatively represent the dynamics of regulatory networks. In this formalism, a regulatory network is represented as a graph, where nodes denote regulatory components (basically genes) and edges denote regulations between these components. Discrete variables are associated to regulatory components ac...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009