Computing with artificial gene regulatory networks
MA Lones - Evolutionary Computation in Gene Regulatory …, 2016 - Wiley Online Library
Gene regulatory networks (GRNs) are the fundamental mechanisms through which
biological organisms control their growth, their dynamical behavior, their interaction with …
biological organisms control their growth, their dynamical behavior, their interaction with …
Investigating the use of Boolean networks for the control of gene regulatory networks
The behaviour of biological cells emerges from complex patterns of interactions between
genes and their products, known as gene regulatory networks (GRN). An important aim of …
genes and their products, known as gene regulatory networks (GRN). An important aim of …
Biochemical connectionism
In this paper, we discuss computational architectures that are motivated by connectionist
patterns that occur in biochemical networks, and speculate about how this biochemical …
patterns that occur in biochemical networks, and speculate about how this biochemical …
Artificial biochemical networks: Evolving dynamical systems to control dynamical systems
Biological organisms exist within environments in which complex nonlinear dynamics are
ubiquitous. They are coupled to these environments via their own complex dynamical …
ubiquitous. They are coupled to these environments via their own complex dynamical …
Towards intelligent biological control: Controlling boolean networks with boolean networks
Gene regulatory networks (GRNs) are the complex dynamical systems that orchestrate the
activities of biological cells. In order to design effective therapeutic interventions for diseases …
activities of biological cells. In order to design effective therapeutic interventions for diseases …
Identifying targets for intervention by analyzing basins of attraction
MP Verdicchio, S Kim - Biocomputing 2011, 2011 - World Scientific
Motivation: A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Good intervention targets are the" key …
key variables which can act as targets for intervention. Good intervention targets are the" key …
Analysis and Synthesis of Boolean Networks
M Liu - 2015 - diva-portal.org
In this thesis, we present techniques and algorithms for analysis and synthesis of
synchronous Boolean and multiple-valued networks. Synchronous Boolean and multiple …
synchronous Boolean and multiple-valued networks. Synchronous Boolean and multiple …
[PDF][PDF] Reduction of Boolean network basins of attraction reveals intervention targets
MP Verdicchio, S Kim - 2010 - researchgate.net
Motivation: A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Good intervention targets are the “key …
key variables which can act as targets for intervention. Good intervention targets are the “key …
Template-based intervention in Boolean network models of biological systems
MP Verdicchio, S Kim - EURASIP Journal on Bioinformatics and Systems …, 2014 - Springer
Motivation A grand challenge in the modeling of biological systems is the identification of
key variables which can act as targets for intervention. Boolean networks are among the …
key variables which can act as targets for intervention. Boolean networks are among the …
Towards the control of cell states in gene regulatory networks by evolving Boolean networks
NS Taou - 2018 - ros.hw.ac.uk
Biological cell behaviours emerge from complex patterns of interactions between genes and
their products, known as gene regulatory networks (GRNs). More specifically, GRNs are …
their products, known as gene regulatory networks (GRNs). More specifically, GRNs are …