Optimal Constrained Stationary Intervention in Gene Regulatory Networks
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چکیده
منابع مشابه
Optimal Constrained Stationary Intervention in Gene Regulatory Networks
A key objective of gene network modeling is to develop intervention strategies to alter regulatory dynamics in such a way as to reduce the likelihood of undesirable phenotypes. Optimal stationary intervention policies have been developed for gene regulation in the framework of probabilistic Boolean networks in a number of settings. To mitigate the possibility of detrimental side effects, for in...
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MOTIVATION Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments including cancer. The ultimate goal is to develop methods to intervene in the function of living organisms in order to drive cells away from a malignant state into a benign form. A serious limitation of much of the previ...
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In recent years, there has been a considerable amount of interest in the area of Genomic Signal Processing, which is the engineering discipline that studies the processing of genomic signals. Since regulatory decisions within the cell utilize numerous inputs, analytical tools are necessary to model the multivariate influences on decision-making produced by complex genetic networks. Signal proce...
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Deep understanding of molecular biology has allowed emergence of new technologies like DNA decryption. On the other hand, advancements of molecular biology have made manipulation of genetic systems simpler than ever; this promises extraordinary progress in biological, medical and biotechnological applications. This is not an unrealistic goal since genes which are regulated by gene regulatory ...
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Stationary and structural control in gene regulatory networks: basic concepts Edward R. Dougherty ab; Ranadip Pal c; Xiaoning Qian d; Michael L. Bittner b; Aniruddha Datta a a Department of Electrical and Computer Engineering, Texas A&M University,, College Station, TX, 77843, USA b Computational Biology Division, Translational Genomics Research Institude, Phoenix, AZ, 85004, USA c Department o...
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ژورنال
عنوان ژورنال: EURASIP Journal on Bioinformatics and Systems Biology
سال: 2008
ISSN: 1687-4145,1687-4153
DOI: 10.1155/2008/620767